Thu Sep 15 20:33:18 2022 hits_test(): Python version: 3.6.9 hits() computes the hub and authority scores for nodes in a directed network. hits_iteration_test01(): 4x4 directed adjacency matrix example Compute authority and hub rankings using HITS iterative algorithm. The adjacency matrix 0.0000 1.0000 1.0000 1.0000 0.0000 0.0000 1.0000 1.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 The HITS iterative algorithm will use 10 steps. Computed authority and hub vectors 0: 0 0.788675 1: 0.459702 0.57735 2: 0.627963 0.211325 3: 0.627963 0 Expected authority and Hub vectors 0: 0 0.7887 1: 0.4597 0.5774 2: 0.628 0.2113 3: 0.628 0 hits_svd_test01(): 4x4 directed adjacency matrix example Compute authority and hub rankings using HITS SVD algorithm. The adjacency matrix 0.0000 1.0000 1.0000 1.0000 0.0000 0.0000 1.0000 1.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Computed authority and hub vectors 0: 0 0.788675 1: 0.459701 0.57735 2: 0.627963 0.211325 3: 0.627963 0 Expected authority and Hub vectors 0: 0 0.7887 1: 0.4597 0.5774 2: 0.628 0.2113 3: 0.628 0 hits_iteration_test02(): 5x5 directed adjacency matrix example Compute authority and hub rankings using HITS iterative algorithm. The adjacency matrix 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 1.0000 1.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 The HITS iterative algorithm will use 10 steps 10 Computed authority and hub vectors 0: 0.657192 0 1: 0.369048 0.615412 2: 0.657192 0.000187036 3: 0.000399467 0.788205 4: 0 0.000187036 hits_svd_test02(): 5x5 directed adjacency matrix example Compute authority and hub rankings using HITS SVD algorithm. The adjacency matrix 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 1.0000 1.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 Computed authority and hub vectors 0: 0.657192 1.11022e-16 1: 0.369048 0.615412 2: 0.657192 0 3: 0 0.788205 4: 0 0 hits_iteration_test03(): Data read from sparse matrix file "#s" small_sparse.txt Compute authority and hub rankings using HITS iterative algorithm. Number of nonzero elements = 195 Number of records m = 93 Number of nodes n = 93 The HITS iterative algorithm will use 30 steps. Computed authority and hub vectors 0: 0.00056417 0.0110944 1: 0.0266832 0.280168 2: 0.155778 0.233085 3: 0 0.1181 4: 0.305663 0.108462 5: 0.168994 0.161524 6: 0.0266832 0.0313381 7: 0.350618 0.0773611 8: 0.107638 0.292649 9: 0.0320855 0.213596 10: 0 0.174284 11: 0.0532027 0.194227 12: 0.0507175 0.00611138 13: 0.0562925 0.177453 14: 0 0.0457661 15: 0.0224833 0.208324 16: 0 0.0143319 17: 0.278639 0.234731 18: 0 0.0814009 19: 0 0.235446 20: 0 0.110596 21: 0.0649446 0.259328 22: 0.00478147 0.0720287 23: 0.618599 0.155363 24: 0.00225443 0.000862538 25: 0.00483367 0.0289442 26: 0.279124 0.212115 27: 0 0.114712 28: 0.0954023 0.101694 29: 0.146749 0.1361 30: 0 0.00255261 31: 0 0.158405 32: 0.0293145 0.232299 33: 0.110149 0.0735878 34: 0.0913031 0.161014 35: 0.00478147 0.0292602 36: 0 0.171627 37: 0 0.246847 38: 0 0.127371 39: 0.00100958 0 40: 0.01895 0 41: 0.0161569 0 42: 0.0118989 0 43: 0.01895 0 44: 0.04284 0 45: 0.0134471 0 46: 0.0377797 0 47: 0.0293145 0 48: 0.01895 0 49: 0.0121564 0 50: 0.146524 0 51: 0.00756038 0 52: 0.0801853 0 53: 0.0524736 0 54: 0.00236757 0 55: 0.0121564 0 56: 0.00239692 0 57: 0.00756038 0 58: 0.0195097 0 59: 0.0195097 0 60: 0.00517692 0 61: 0.00517692 0 62: 0.00100958 0 63: 0.000142488 0 64: 0.0672469 0 65: 0.00517692 0 66: 0.01827 0 67: 0.01827 0 68: 0.00478147 0 69: 0.00483367 0 70: 0.0118989 0 71: 0.0178091 0 72: 0.0728637 0 73: 0.0195097 0 74: 0.0151473 0 75: 0.244545 0 76: 0.00756038 0 77: 0.00517692 0 78: 0.0287911 0 79: 0.000142488 0 80: 0.00197524 0 81: 0.0266832 0 82: 0.0118989 0 83: 0.00236757 0 84: 0.0134471 0 85: 0.0134471 0 86: 0.000421682 0 87: 0.00981481 0 88: 0.00100958 0 89: 0.0283521 0 90: 0.01895 0 91: 0.0261679 0 92: 0.00483367 0 hits_svd_test03(): Data read from sparse matrix file "small_sparse.txt" Compute authority and hub rankings using HITS SVD algorithm. Number of nonzero elements = 195 Number of records m = 93 Number of nodes n = 93 Computed authority and hub vectors 0: 0.00056417 0.0110944 1: 0.0266832 0.280168 2: 0.155778 0.233085 3: 1.11022e-16 0.1181 4: 0.305663 0.108462 5: 0.168994 0.161524 6: 0.0266832 0.0313381 7: 0.350618 0.0773611 8: 0.107638 0.292649 9: 0.0320855 0.213596 10: 1.69407e-21 0.174284 11: 0.0532027 0.194227 12: 0.0507175 0.00611138 13: 0.0562925 0.177453 14: 0 0.0457661 15: 0.0224833 0.208324 16: 0 0.0143319 17: 0.278639 0.234731 18: 0 0.0814009 19: 0 0.235446 20: 0 0.110596 21: 0.0649446 0.259328 22: 0.00478147 0.0720287 23: 0.618599 0.155363 24: 0.00225443 0.000862538 25: 0.00483367 0.0289442 26: 0.279124 0.212115 27: 0 0.114712 28: 0.0954023 0.101694 29: 0.146749 0.1361 30: 0 0.00255261 31: 0 0.158405 32: 0.0293145 0.232299 33: 0.110149 0.0735878 34: 0.0913031 0.161014 35: 0.00478147 0.0292602 36: 0 0.171627 37: 0 0.246847 38: 0 0.127371 39: 0.00100958 0 40: 0.01895 0 41: 0.0161569 0 42: 0.0118989 0 43: 0.01895 0 44: 0.04284 0 45: 0.0134471 0 46: 0.0377797 0 47: 0.0293145 0 48: 0.01895 0 49: 0.0121564 0 50: 0.146524 0 51: 0.00756038 0 52: 0.0801853 0 53: 0.0524736 0 54: 0.00236757 0 55: 0.0121564 0 56: 0.00239692 0 57: 0.00756038 0 58: 0.0195097 0 59: 0.0195097 0 60: 0.00517692 0 61: 0.00517692 0 62: 0.00100958 0 63: 0.000142488 0 64: 0.0672469 0 65: 0.00517692 0 66: 0.01827 0 67: 0.01827 0 68: 0.00478147 0 69: 0.00483367 0 70: 0.0118989 0 71: 0.0178091 0 72: 0.0728637 0 73: 0.0195097 0 74: 0.0151473 0 75: 0.244545 0 76: 0.00756038 0 77: 0.00517692 0 78: 0.0287911 0 79: 0.000142488 0 80: 0.00197524 0 81: 0.0266832 0 82: 0.0118989 0 83: 0.00236757 0 84: 0.0134471 0 85: 0.0134471 0 86: 0.000421682 0 87: 0.00981481 0 88: 0.00100958 0 89: 0.0283521 0 90: 0.01895 0 91: 0.0261679 0 92: 0.00483367 0 hits_iteration_test03(): Data read from sparse matrix file "#s" medium_sparse.txt Compute authority and hub rankings using HITS iterative algorithm. Number of nonzero elements = 430 Number of records m = 316 Number of nodes n = 316 The HITS iterative algorithm will use 30 steps. Computed authority and hub vectors 0: 0.0281939 0.00581953 1: 6.55489e-05 0.0213254 2: 0 1.15066e-26 3: 0 0.021349 4: 0 0.00581953 5: 0 0.0431228 6: 0 0.000911367 7: 0 1.15066e-26 8: 0 0.00146538 9: 8.61604e-06 0.00149748 10: 0.160552 0.192745 11: 0.0370871 0.177737 12: 5.35265e-24 0.00926221 13: 0.00773795 0.185204 14: 0 0.0746303 15: 0 0.00192653 16: 0 0.154744 17: 0.00758428 0.0772638 18: 0.0190533 0.0427069 19: 0 0.00279718 20: 0.0834457 0.244511 21: 0 0.18578 22: 0 1.15066e-26 23: 0 0.00625051 24: 0.00341121 0.0258554 25: 0 0.000525692 26: 0 0.000294167 27: 0.00033996 0.000935535 28: 0.0440834 0.158987 29: 0 0.205612 30: 5.00367e-05 9.95053e-06 31: 0 0.000722155 32: 0 0.0161783 33: 0.00362736 0.000385363 34: 0.160624 0.248262 35: 0 5.24192e-05 36: 0.014476 0.0413636 37: 0 2.73139e-24 38: 0 1.15066e-26 39: 0 0.000772809 40: 0.0103137 1.15066e-26 41: 0 0.159978 42: 0.0923095 0.259882 43: 0.0763151 0.208458 44: 0.0431958 0.202428 45: 0.0749185 0.209754 46: 0 9.91366e-05 47: 0.0864333 0.251305 48: 0 5.06539e-05 49: 0 1.15066e-26 50: 0 1.15066e-26 51: 0 0.00106799 52: 0 1.59121e-05 53: 0.132194 0.0345951 54: 0.033328 0.0310505 55: 0.00455293 0.00387632 56: 0 2.73139e-24 57: 0.027043 0.0257966 58: 0 1.15066e-26 59: 0.0373155 0.0396006 60: 0 0.0104254 61: 0.299422 0.19044 62: 6.55489e-05 0.160721 63: 0.0324941 0.00830112 64: 0 5.20382e-05 65: 0 0.00597614 66: 0 0.205612 67: 0 1.15066e-26 68: 0.00472569 0.000143721 69: 0.000272509 0.000943545 70: 0.0382085 0.0454916 71: 0.0070358 0.159978 72: 0.804456 0.0988947 73: 0.000989881 0.165753 74: 0 0.000772009 75: 0 0.00047041 76: 8.61604e-06 1.15066e-26 77: 0.0100153 0.195936 78: 1.35295e-26 0.0606346 79: 0 0.0259033 80: 0.0525 0.182689 81: 0.0512685 0.176672 82: 0.00773795 0.0222008 83: 0.0058845 0.0567201 84: 0 0.015541 85: 0.110477 0.24623 86: 0.000249256 0 87: 0.0584128 0 88: 1.35295e-26 0 89: 0.000266119 0 90: 0.0349739 0 91: 0.000183577 0 92: 0.0040134 0 93: 1.35295e-26 0 94: 8.91631e-06 0 95: 0.000181661 0 96: 0.00363139 0 97: 0.0192818 0 98: 5.17292e-05 0 99: 0.0481509 0 100: 0.00106319 0 101: 0.176916 0 102: 0.000131316 0 103: 0.128733 0 104: 1.35295e-26 0 105: 0.0126943 0 106: 1.35295e-26 0 107: 0.000254715 0 108: 2.67632e-24 0 109: 1.35295e-26 0 110: 0.000131316 0 111: 8.61604e-06 0 112: 0.00015502 0 113: 1.35295e-26 0 114: 1.35295e-26 0 115: 8.27215e-05 0 116: 1.35295e-26 0 117: 0.0316004 0 118: 2.67632e-24 0 119: 8.8515e-06 0 120: 0.00157547 0 121: 0.0272116 0 122: 0.0155324 0 123: 0.000989881 0 124: 0.00015502 0 125: 0.0302325 0 126: 0.00440606 0 127: 2.44464e-05 0 128: 0.000131316 0 129: 8.8515e-06 0 130: 0.0349739 0 131: 1.35295e-26 0 132: 0.00157547 0 133: 0.090483 0 134: 0.0323931 0 135: 1.35295e-26 0 136: 0.00505725 0 137: 0.0272116 0 138: 2.7066e-06 0 139: 0.000122836 0 140: 0.00438791 0 141: 5.00367e-05 0 142: 0.00101652 0 143: 1.68628e-05 0 144: 2.67632e-24 0 145: 0.00264347 0 146: 0.00401756 0 147: 1.35295e-26 0 148: 0.000270528 0 149: 0.0103137 0 150: 0.00275186 0 151: 8.94182e-05 0 152: 0.000541339 0 153: 6.55489e-05 0 154: 0.0310678 0 155: 0.031431 0 156: 2.7066e-06 0 157: 0.000254715 0 158: 0.0639935 0 159: 0.00273288 0 160: 0.00101652 0 161: 0.00177332 0 162: 8.94182e-05 0 163: 1.35295e-26 0 164: 0.00275186 0 165: 0.0349739 0 166: 0.000181661 0 167: 8.91631e-06 0 168: 2.67632e-24 0 169: 1.35295e-26 0 170: 0.0010699 0 171: 0.000160494 0 172: 1.35295e-26 0 173: 2.67632e-24 0 174: 0.00177332 0 175: 1.35295e-26 0 176: 0.00375422 0 177: 0.0478964 0 178: 0.0301736 0 179: 1.35295e-26 0 180: 0.000122836 0 181: 0.000131452 0 182: 0.00440606 0 183: 0.000989881 0 184: 0.000122836 0 185: 0.0310747 0 186: 0.000160494 0 187: 1.35295e-26 0 188: 0.00733502 0 189: 1.35295e-26 0 190: 1.35295e-26 0 191: 0.0263213 0 192: 8.91631e-06 0 193: 0.0392627 0 194: 0.0263213 0 195: 2.7066e-06 0 196: 1.35295e-26 0 197: 0.0327852 0 198: 0.00362736 0 199: 0.00264347 0 200: 1.35295e-26 0 201: 1.35295e-26 0 202: 0.000160494 0 203: 1.35295e-26 0 204: 0.0272116 0 205: 0.00363139 0 206: 0.0155324 0 207: 0.027338 0 208: 1.35295e-26 0 209: 1.35295e-26 0 210: 1.35295e-26 0 211: 0.00275186 0 212: 1.35295e-26 0 213: 0.00683058 0 214: 0.00377628 0 215: 0.00362736 0 216: 8.8515e-06 0 217: 1.35295e-26 0 218: 5.00367e-05 0 219: 1.35295e-26 0 220: 0.00964787 0 221: 0.0272116 0 222: 1.35295e-26 0 223: 0.000266119 0 224: 1.35295e-26 0 225: 2.67632e-24 0 226: 0.0544233 0 227: 1.35295e-26 0 228: 1.35295e-26 0 229: 0.00157547 0 230: 0.000249256 0 231: 8.94182e-05 0 232: 0.000327696 0 233: 0.027338 0 234: 0.000659347 0 235: 1.35295e-26 0 236: 0.000181661 0 237: 1.35295e-26 0 238: 0.0263213 0 239: 0.000131452 0 240: 0.0349739 0 241: 0.00015502 0 242: 0.00683058 0 243: 0.000327696 0 244: 1.35295e-26 0 245: 2.67632e-24 0 246: 0.027338 0 247: 1.35295e-26 0 248: 1.35295e-26 0 249: 0.00106319 0 250: 1.68628e-05 0 251: 1.69255e-06 0 252: 1.35295e-26 0 253: 0.00546324 0 254: 0.0281939 0 255: 0.000327696 0 256: 1.35295e-26 0 257: 0.0010699 0 258: 1.69255e-06 0 259: 0.0131423 0 260: 0.0981403 0 261: 1.35295e-26 0 262: 0.0315024 0 263: 0.000263332 0 264: 0.00106319 0 265: 0.000122836 0 266: 1.35295e-26 0 267: 0.000131452 0 268: 0.000131452 0 269: 2.7066e-06 0 270: 1.35295e-26 0 271: 1.35295e-26 0 272: 0.000989881 0 273: 0.00106319 0 274: 0.000159131 0 275: 0.000989881 0 276: 0.000327696 0 277: 0.00047579 0 278: 0.00101652 0 279: 0.0430989 0 280: 0.000131316 0 281: 0.0131423 0 282: 0.00518827 0 283: 8.94182e-05 0 284: 0.00047579 0 285: 0.000159131 0 286: 0.0272116 0 287: 0.000989881 0 288: 1.69255e-06 0 289: 0.0302325 0 290: 1.35295e-26 0 291: 0.00047579 0 292: 1.69255e-06 0 293: 8.8515e-06 0 294: 0.0263213 0 295: 0.0349739 0 296: 1.35295e-26 0 297: 0.0349739 0 298: 0.0316004 0 299: 0.00141199 0 300: 8.61604e-06 0 301: 0.0058845 0 302: 0.00141199 0 303: 0.00157547 0 304: 0.00101652 0 305: 1.35295e-26 0 306: 0.120619 0 307: 1.35295e-26 0 308: 1.35295e-26 0 309: 2.44464e-05 0 310: 0.0126943 0 311: 0.0272116 0 312: 0.00152758 0 313: 2.67632e-24 0 314: 1.68628e-05 0 315: 8.91631e-06 0 hits_svd_test03(): Data read from sparse matrix file "medium_sparse.txt" Compute authority and hub rankings using HITS SVD algorithm. Number of nonzero elements = 430 Number of records m = 316 Number of nodes n = 316 Computed authority and hub vectors 0: 0.0281939 0.00581953 1: 6.55489e-05 0.0213254 2: 0 1.11022e-16 3: 5.55112e-17 0.021349 4: 0 0.00581953 5: 8.67362e-19 0.0431228 6: 0 0.000911367 7: 6.77626e-21 3.38813e-21 8: 8.47033e-22 0.00146538 9: 8.61604e-06 0.00149748 10: 0.160552 0.192745 11: 0.0370871 0.177737 12: 2.06795e-25 0.00926221 13: 0.00773795 0.185204 14: 1.61559e-27 0.0746303 15: 0 0.00192653 16: 1.26218e-29 0.154744 17: 0.00758428 0.0772638 18: 0.0190533 0.0427069 19: 0 0.00279718 20: 0.0834457 0.244511 21: 0 0.18578 22: 0 0 23: 0 0.00625051 24: 0.00341121 0.0258554 25: 0 0.000525692 26: 0 0.000294167 27: 0.00033996 0.000935535 28: 0.0440834 0.158987 29: 0 0.205612 30: 5.00367e-05 9.95053e-06 31: 0 0.000722155 32: 0 0.0161783 33: 0.00362736 0.000385363 34: 0.160624 0.248262 35: 0 5.24192e-05 36: 0.014476 0.0413636 37: 0 3.5929e-27 38: 0 0 39: 0 0.000772809 40: 0.0103137 0 41: 0 0.159978 42: 0.0923095 0.259882 43: 0.0763151 0.208458 44: 0.0431958 0.202428 45: 0.0749185 0.209754 46: 0 9.91366e-05 47: 0.0864333 0.251305 48: 0 5.06539e-05 49: 0 0 50: 0 0 51: 0 0.00106799 52: 0 1.59121e-05 53: 0.132194 0.0345951 54: 0.033328 0.0310505 55: 0.00455293 0.00387632 56: 0 3.5929e-27 57: 0.027043 0.0257966 58: 0 0 59: 0.0373155 0.0396006 60: 0 0.0104254 61: 0.299422 0.19044 62: 6.55489e-05 0.160721 63: 0.0324941 0.00830112 64: 0 5.20382e-05 65: 0 0.00597614 66: 0 0.205612 67: 0 0 68: 0.00472569 0.000143721 69: 0.000272509 0.000943545 70: 0.0382085 0.0454916 71: 0.0070358 0.159978 72: 0.804456 0.0988947 73: 0.000989881 0.165753 74: 0 0.000772009 75: 0 0.00047041 76: 8.61604e-06 0 77: 0.0100153 0.195936 78: 0 0.0606346 79: 0 0.0259033 80: 0.0525 0.182689 81: 0.0512685 0.176672 82: 0.00773795 0.0222008 83: 0.0058845 0.0567201 84: 0 0.015541 85: 0.110477 0.24623 86: 0.000249256 0 87: 0.0584128 0 88: 0 0 89: 0.000266119 0 90: 0.0349739 0 91: 0.000183577 0 92: 0.0040134 0 93: 0 0 94: 8.91631e-06 0 95: 0.000181661 0 96: 0.00363139 0 97: 0.0192818 0 98: 5.17292e-05 0 99: 0.0481509 0 100: 0.00106319 0 101: 0.176916 0 102: 0.000131316 0 103: 0.128733 0 104: 0 0 105: 0.0126943 0 106: 5.57313e-18 0 107: 0.000254715 0 108: 6.11139e-28 0 109: 0 0 110: 0.000131316 0 111: 8.61604e-06 0 112: 0.00015502 0 113: 0 0 114: 1.31052e-22 0 115: 8.27215e-05 0 116: 0 0 117: 0.0316004 0 118: 6.11139e-28 0 119: 8.8515e-06 0 120: 0.00157547 0 121: 0.0272116 0 122: 0.0155324 0 123: 0.000989881 0 124: 0.00015502 0 125: 0.0302325 0 126: 0.00440606 0 127: 2.44464e-05 0 128: 0.000131316 0 129: 8.8515e-06 0 130: 0.0349739 0 131: 0 0 132: 0.00157547 0 133: 0.090483 0 134: 0.0323931 0 135: 0 0 136: 0.00505725 0 137: 0.0272116 0 138: 2.7066e-06 0 139: 0.000122836 0 140: 0.00438791 0 141: 5.00367e-05 0 142: 0.00101652 0 143: 1.68628e-05 0 144: 6.11139e-28 0 145: 0.00264347 0 146: 0.00401756 0 147: 0 0 148: 0.000270528 0 149: 0.0103137 0 150: 0.00275186 0 151: 8.94182e-05 0 152: 0.000541339 0 153: 6.55489e-05 0 154: 0.0310678 0 155: 0.031431 0 156: 2.7066e-06 0 157: 0.000254715 0 158: 0.0639935 0 159: 0.00273288 0 160: 0.00101652 0 161: 0.00177332 0 162: 8.94182e-05 0 163: 0 0 164: 0.00275186 0 165: 0.0349739 0 166: 0.000181661 0 167: 8.91631e-06 0 168: 6.11139e-28 0 169: 0 0 170: 0.0010699 0 171: 0.000160494 0 172: 0 0 173: 6.11139e-28 0 174: 0.00177332 0 175: 0 0 176: 0.00375422 0 177: 0.0478964 0 178: 0.0301736 0 179: 5.57313e-18 0 180: 0.000122836 0 181: 0.000131452 0 182: 0.00440606 0 183: 0.000989881 0 184: 0.000122836 0 185: 0.0310747 0 186: 0.000160494 0 187: 0 0 188: 0.00733502 0 189: 0 0 190: 0 0 191: 0.0263213 0 192: 8.91631e-06 0 193: 0.0392627 0 194: 0.0263213 0 195: 2.7066e-06 0 196: 0 0 197: 0.0327852 0 198: 0.00362736 0 199: 0.00264347 0 200: 0 0 201: 5.57313e-18 0 202: 0.000160494 0 203: 0 0 204: 0.0272116 0 205: 0.00363139 0 206: 0.0155324 0 207: 0.027338 0 208: 0 0 209: 1.31052e-22 0 210: 0 0 211: 0.00275186 0 212: 0 0 213: 0.00683058 0 214: 0.00377628 0 215: 0.00362736 0 216: 8.8515e-06 0 217: 0 0 218: 5.00367e-05 0 219: 0 0 220: 0.00964787 0 221: 0.0272116 0 222: 5.57313e-18 0 223: 0.000266119 0 224: 0 0 225: 6.11139e-28 0 226: 0.0544233 0 227: 1.31052e-22 0 228: 0 0 229: 0.00157547 0 230: 0.000249256 0 231: 8.94182e-05 0 232: 0.000327696 0 233: 0.027338 0 234: 0.000659347 0 235: 0 0 236: 0.000181661 0 237: 0 0 238: 0.0263213 0 239: 0.000131452 0 240: 0.0349739 0 241: 0.00015502 0 242: 0.00683058 0 243: 0.000327696 0 244: 1.31052e-22 0 245: 6.11139e-28 0 246: 0.027338 0 247: 0 0 248: 1.31052e-22 0 249: 0.00106319 0 250: 1.68628e-05 0 251: 1.69255e-06 0 252: 0 0 253: 0.00546324 0 254: 0.0281939 0 255: 0.000327696 0 256: 0 0 257: 0.0010699 0 258: 1.69255e-06 0 259: 0.0131423 0 260: 0.0981403 0 261: 0 0 262: 0.0315024 0 263: 0.000263332 0 264: 0.00106319 0 265: 0.000122836 0 266: 0 0 267: 0.000131452 0 268: 0.000131452 0 269: 2.7066e-06 0 270: 0 0 271: 0 0 272: 0.000989881 0 273: 0.00106319 0 274: 0.000159131 0 275: 0.000989881 0 276: 0.000327696 0 277: 0.00047579 0 278: 0.00101652 0 279: 0.0430989 0 280: 0.000131316 0 281: 0.0131423 0 282: 0.00518827 0 283: 8.94182e-05 0 284: 0.00047579 0 285: 0.000159131 0 286: 0.0272116 0 287: 0.000989881 0 288: 1.69255e-06 0 289: 0.0302325 0 290: 5.57313e-18 0 291: 0.00047579 0 292: 1.69255e-06 0 293: 8.8515e-06 0 294: 0.0263213 0 295: 0.0349739 0 296: 0 0 297: 0.0349739 0 298: 0.0316004 0 299: 0.00141199 0 300: 8.61604e-06 0 301: 0.0058845 0 302: 0.00141199 0 303: 0.00157547 0 304: 0.00101652 0 305: 0 0 306: 0.120619 0 307: 0 0 308: 0 0 309: 2.44464e-05 0 310: 0.0126943 0 311: 0.0272116 0 312: 0.00152758 0 313: 6.11139e-28 0 314: 1.68628e-05 0 315: 8.91631e-06 0 hits_iteration_test03(): Data read from sparse matrix file "#s" large_sparse.txt Compute authority and hub rankings using HITS iterative algorithm. Number of nonzero elements = 3545 Number of records m = 1458 Number of nodes n = 1458 The HITS iterative algorithm will use 30 steps. Computed authority and hub vectors 0: 4.16061e-05 2.51572e-05 1: 0.000640572 0.00294157 2: 0.000103475 0.00568056 3: 0.0837506 0.0100664 4: 0.00106219 0.00227411 5: 0.00810933 0.016579 6: 0 0.00211074 7: 0 0.00417261 8: 2.32327e-05 4.55702e-05 9: 0.0168573 0.000245282 10: 0.000772611 0.00202266 11: 0.000299921 0.0446758 12: 0.0114137 0.00606941 13: 0.000630753 0.0182343 14: 0.000125836 0.00643589 15: 0.00547051 0.0182503 16: 0 3.35508e-40 17: 6.30681e-05 9.68055e-05 18: 0 0.00870355 19: 0.0238151 0.114545 20: 8.95786e-05 3.17971e-05 21: 0.00228366 0.0261317 22: 0 0.013934 23: 0 0.00167454 24: 0.00895365 0.00409133 25: 0.0129289 0.000494036 26: 0 0.0165869 27: 0.364808 0.0849464 28: 0 0.0137347 29: 0 0.000126419 30: 0.00940856 0.16433 31: 0.000240619 0.00322123 32: 0.000810974 1.01033e-05 33: 0.00984631 0.0370629 34: 0 0.00014882 35: 0 0.0318581 36: 0.000178093 0.00815942 37: 0.00266456 0.013933 38: 0 0.0098379 39: 0 0.0012415 40: 1.41212e-05 0.00976535 41: 0.0032557 0.0111449 42: 0.0144731 0.138496 43: 0 0.0269511 44: 0.012284 0.0256175 45: 0.0671903 0.0283607 46: 0.0088478 0.0465591 47: 0.00118916 0.0135655 48: 0.00317764 0.00804425 49: 1.88654e-06 0.00108032 50: 0.00340664 0.00904115 51: 0.0371863 0.0254039 52: 0.00283781 0.00819045 53: 0.00176952 0.000919836 54: 0.00360558 0.00868317 55: 0 0.00955288 56: 0.00189926 0.0279594 57: 2.66362e-05 0.00144406 58: 0 0.00672733 59: 0.0001981 0.0035156 60: 0 0.00409654 61: 0.000156551 0.000259687 62: 0.00498114 0.00266355 63: 0.0564334 0.0159197 64: 0.00119025 0.00456311 65: 7.44603e-05 0.014706 66: 0.00401133 0.0147051 67: 0.000315678 0.0150779 68: 0.00302052 0.00582256 69: 0.00170237 0.00167393 70: 0 0.00214356 71: 0.000543056 0.00136757 72: 0.000986154 0.00946955 73: 4.61578e-06 1.68318e-06 74: 0.0117484 0.123126 75: 0 3.35508e-40 76: 0 0.00535323 77: 0 0.0112436 78: 0.00180899 0.00306416 79: 0.000432321 0.00314617 80: 5.5924e-06 5.4524e-05 81: 0.00183396 0.019251 82: 0.00028287 0.0026407 83: 0.000106645 0.00134944 84: 0 0.000118576 85: 0 0.000403721 86: 3.99301e-05 0.0143905 87: 0.000496944 0.00738239 88: 0.000850797 0.00275684 89: 0.000269523 0.00287823 90: 0.00791235 0.00249732 91: 0.0170028 0.145844 92: 0 7.96417e-38 93: 1.92406e-05 1.83893e-05 94: 0.0012305 0.00397066 95: 0 3.35508e-40 96: 0 0.00383126 97: 0.000410294 0.000307227 98: 0.00383382 0.0271995 99: 0.00872084 0.00446073 100: 0 0.00231261 101: 0.000533978 0.00961469 102: 0.000216886 0.00247232 103: 0.000149501 0.000405575 104: 0.00119738 0.0111654 105: 0.00286768 0.00192378 106: 0 0.000516418 107: 0 0.00718125 108: 0 0.00477007 109: 0.0189734 0.0179425 110: 0.0091678 0.00139176 111: 0.0327852 0.0441023 112: 0.0291636 0.1302 113: 0 0.00535817 114: 0 0.00288859 115: 0.00158635 0.00128395 116: 0.000278545 0.00135029 117: 0 0.000728284 118: 0 0.0353334 119: 0.0030221 0.00857828 120: 0.013938 0.13953 121: 0 0.00307778 122: 0.000125836 0.000146856 123: 0 0.0109457 124: 0.0029826 0.000995965 125: 0.00105783 0.0229364 126: 0.00187187 0.0323992 127: 0 0.00436287 128: 0.0304486 0.105282 129: 0.00106243 0.000252663 130: 0.0230363 0.0142319 131: 0.000563488 0.00103828 132: 0.00050722 0.00596382 133: 0.00317621 0.019214 134: 0 0.0248592 135: 0.00032105 0.00164544 136: 0.000552681 0.00154401 137: 0.000507453 0.000313716 138: 0.00118732 0.0104242 139: 1.59935e-05 0.000935115 140: 0 0.055624 141: 0.000385969 5.38917e-05 142: 0.000496136 0.0833812 143: 9.93028e-06 0.00226042 144: 0.0143111 0.135893 145: 0.00222356 0.00872382 146: 0.00143558 0.00368679 147: 0.00452788 0.00838821 148: 0.00232503 0.00344097 149: 0.000335873 0.000435094 150: 0 3.35508e-40 151: 0 0.0406957 152: 0 0.00103977 153: 7.21883e-05 0.00662184 154: 5.53109e-06 5.0624e-05 155: 0.0141572 0.0289073 156: 0 0.00392801 157: 0 0.000682779 158: 0.00384773 0.0134527 159: 0.000105034 0.000964079 160: 0 0.0012862 161: 3.58736e-05 0.000187441 162: 0 2.40792e-05 163: 2.34635e-05 0.00122622 164: 0.023478 0.096171 165: 5.13753e-05 0.000500835 166: 0.0451067 0.0272101 167: 0.00571204 0.0149416 168: 0.000894775 0.135309 169: 0.00198458 0.000585327 170: 0.00120467 0.0108768 171: 0.014907 0.00498704 172: 0.00467753 0.000569453 173: 0.0255281 0.00307615 174: 0 0.00595419 175: 0 0.0416827 176: 0 0.000679115 177: 0.00318127 0.10802 178: 0 4.07445e-05 179: 0 0.00702834 180: 0.00706357 0.0263103 181: 0 0.00152858 182: 0 3.66613e-05 183: 0.00163379 0.00614983 184: 0.00155427 0.0157078 185: 0.00458732 0.00141 186: 0.00106927 0.00984396 187: 0 0.00960519 188: 0.0003488 0.00377069 189: 0.000318588 0.000264641 190: 1.80559e-05 8.45736e-05 191: 7.44603e-05 0.00343777 192: 0 0.000220528 193: 0.000301644 0.12457 194: 0.00540791 0.0332661 195: 0.00332092 0.00566488 196: 0 4.56124e-05 197: 0.198565 0.0160884 198: 0.0346278 0.106941 199: 0.000125001 0.00589056 200: 0.000954734 0.00437401 201: 0.000171273 0.0086663 202: 0 0.00164538 203: 0.000180207 0.0107022 204: 0.000333967 4.23939e-05 205: 0.000887658 0.000714331 206: 0 0.000201361 207: 0.000416819 0.000364161 208: 0 0.000140819 209: 0.0212952 0.00616623 210: 0.00236147 0.0102916 211: 0 0.00294415 212: 0.00172622 0.000688903 213: 0.0283682 0.0247229 214: 0.000362942 0.00318193 215: 0 0.00749035 216: 0.000378259 7.97424e-05 217: 0.000426284 0.0160426 218: 0.0307991 0.00589403 219: 0.00131911 3.04234e-05 220: 0.000275221 0.00126023 221: 0 0.00184136 222: 0 0.00281185 223: 0.0435353 0.00318198 224: 0.000367777 0.00290284 225: 0 1.18036e-05 226: 5.13753e-05 0.000500835 227: 0 0.00344558 228: 6.64524e-05 0.0008128 229: 0.000679188 0.000128345 230: 0.00219905 0.00937716 231: 0 3.35508e-40 232: 0.0038708 0.140529 233: 0 0.00919454 234: 0 0.00098174 235: 0 0.000445505 236: 3.45456e-05 0.00022638 237: 0.000153781 4.64529e-05 238: 0.00426931 0.00316227 239: 0.037358 0.0940189 240: 0.00582314 0.00158565 241: 0.000346306 0.00766488 242: 4.67655e-06 0.000159741 243: 0 0.00614929 244: 0.00436534 0.00396562 245: 0.00326711 0.0199909 246: 0.00247338 0.00809984 247: 0.109098 0.155146 248: 0.000686112 0.00169437 249: 0.00331097 0.00491203 250: 0.0010398 0.104298 251: 0.00642848 0.00767232 252: 0.000982129 0.00549317 253: 0.000352306 0.00200577 254: 0.00144733 0.0396847 255: 0.000882832 0.149024 256: 0 8.82428e-05 257: 0.0157541 0.0320035 258: 0 0.0375093 259: 0 0.00975232 260: 0.00128211 0.0118652 261: 0 1.53327e-05 262: 0.0116748 0.0336062 263: 0 0.000909755 264: 0 8.22618e-05 265: 0.00225389 0.0033238 266: 8.47254e-06 0.0020722 267: 0.000503738 0.0129038 268: 0.000105037 0.000908527 269: 0.000620078 0.00416259 270: 0.00150147 0.00151169 271: 0 0.00308444 272: 0.0136918 0.00933906 273: 0.00152533 0.013266 274: 0 0.00342257 275: 0 0.0109268 276: 0.000549562 0.00425973 277: 0.00618344 0.00316909 278: 0.000221175 0.00668654 279: 2.43022e-05 0.00379547 280: 0.00202813 0.00708271 281: 0.00164754 0.00310029 282: 0 5.60533e-05 283: 0 0.000213704 284: 0.00210276 0.000938924 285: 0.000630102 0.00224553 286: 0 0.00157107 287: 0 0.000859427 288: 0.0142303 0.0263899 289: 3.21771e-05 0.00494751 290: 0.00170643 5.91772e-05 291: 0.000116231 0.000995766 292: 0.00018836 0.00359283 293: 0.00127878 0.0162047 294: 0 0.0187219 295: 0.00018474 0.000289339 296: 0 0.00236177 297: 0.00128441 0.0019514 298: 0 0.00119691 299: 0.00665617 0.13419 300: 0.000882832 0.0149621 301: 0.00050945 9.45959e-05 302: 3.32258e-05 0.0108852 303: 0.0153896 0.0931668 304: 0.000448624 0.132993 305: 0.000896196 0.00375303 306: 0.0044654 0.0173728 307: 0 0.036308 308: 0 0.000199907 309: 0.00671445 0.00705602 310: 0.000533978 0.0400485 311: 0 0.00137486 312: 0.000295935 0.000635264 313: 0 0.00111224 314: 0.00135275 0.00148488 315: 0.00189481 0.00221916 316: 0 9.35497e-06 317: 0.0145852 0.00236091 318: 0 0.089076 319: 0.00149927 0.0149531 320: 0.000902178 0.00557926 321: 0.0167071 0.0233011 322: 0 0.000137648 323: 0.0778721 0.124523 324: 0.000103475 0.048502 325: 0 0.0144673 326: 0.000184655 0.0857277 327: 0 0.00790581 328: 0.0040703 0.00705496 329: 0.00349681 0.0130988 330: 0.000428002 0.00282378 331: 0.00331097 0.00491203 332: 0.0135612 0.0781832 333: 0.000720979 0.00548352 334: 0 0.0373788 335: 0 0.00651835 336: 0.0013192 0.0110951 337: 0.00235653 0.0174739 338: 0.000178093 0.000150899 339: 0 0.0087472 340: 0.00493532 0.00776806 341: 0.0178814 0.0366335 342: 0.00165307 0.124711 343: 0.183311 0.128081 344: 0.000524809 0.00431645 345: 0 7.00142e-05 346: 0.000860442 0.00976666 347: 0.027362 0.0217995 348: 5.84349e-05 0.0347418 349: 0 0.000298793 350: 0.0276711 0.0434538 351: 0 0.0145412 352: 0.000100129 0.00237922 353: 4.91095e-06 1.94428e-06 354: 2.30755e-05 0.000145359 355: 0.00178205 0.0323686 356: 0 0.00016982 357: 2.1496e-06 0.00137765 358: 0.000154394 2.09564e-05 359: 0 4.78595e-05 360: 0 0.00659189 361: 0.00125977 0.00600255 362: 0 0.00189842 363: 0.00566541 0.00812974 364: 0 0.00183644 365: 0 3.35508e-40 366: 0.000489639 0.00653982 367: 0.00021685 0.0120349 368: 9.93657e-06 0.000152155 369: 0.000768694 0.000984063 370: 0.0307974 0.045116 371: 0 0.000579812 372: 0.000322577 0.0157388 373: 0.000212614 8.25873e-05 374: 0 0.00111677 375: 0.000216701 0.000919415 376: 0.0015346 0.0149621 377: 0.000183619 0.00298243 378: 0 0.00103489 379: 0.000786176 0.00337633 380: 0.00752385 0.00735717 381: 0 0.0103125 382: 0.000371462 0.00471543 383: 0 0.000304783 384: 0.00271772 0.01988 385: 0.0213794 0.023799 386: 0.000411227 0.000205735 387: 0.0016966 0.00623235 388: 3.07128e-05 0.0119085 389: 0.00969505 0.160094 390: 2.5158e-05 0.0981792 391: 0.000645418 0.0265166 392: 0.00426454 0.00288526 393: 0.0111866 0.0400624 394: 0.00324184 0.0154497 395: 0.000288347 0.00585509 396: 0.00416338 0.0397567 397: 0 0.000316489 398: 0.000576025 0.000904982 399: 0.0822477 0.0291051 400: 0.000207898 0.00788973 401: 2.5158e-05 0.0467357 402: 0 0.000141897 403: 0 0.00860727 404: 0.0251037 0.0166383 405: 0.000682863 0.00621416 406: 0.000144983 0.00116113 407: 0.00140523 0.0401216 408: 0.000586161 0.0902804 409: 0 2.24918e-05 410: 0 0.0211785 411: 1.54791e-05 0.00173628 412: 0 0.000919415 413: 0.010431 0.00121508 414: 0 0.000127637 415: 0.0818239 0.0124805 416: 0 0.00873749 417: 0.000295319 0.00262682 418: 0 0.00276135 419: 0.000242169 0.0226259 420: 0.000675237 0.00958375 421: 1.39144e-05 0.00154026 422: 0.00122142 0.135171 423: 0.00197002 0.00690832 424: 0.000615665 0.00300623 425: 0 0.0105235 426: 0.000252502 0.00341509 427: 0.000256147 0.00192639 428: 0 7.96417e-38 429: 0 0.000126897 430: 0 0.00143915 431: 0.000744754 0.0311082 432: 0.105832 0.0482761 433: 0.000986154 0.00520617 434: 0.000726538 0.00206733 435: 0.115987 0.134193 436: 0.000462223 0.00263555 437: 0.00011103 0.000155841 438: 0.00116609 0.0453543 439: 0 7.96417e-38 440: 2.1496e-06 0.0117542 441: 0.000823412 0.0143946 442: 0 0.00101389 443: 0.00121709 0.012499 444: 0.00659276 0.0317663 445: 0.00285499 0.00358234 446: 0 0.0861071 447: 0.000390866 0.000933079 448: 0.002339 0.00946895 449: 0.00028287 0.00275599 450: 0.000397866 0.00199484 451: 0.116829 0.14168 452: 0.00154455 0.0112494 453: 0.00196309 0.004172 454: 0.000192949 0.000244448 455: 0.0120814 0.116203 456: 0.00122777 0.0115937 457: 0 1.55491e-06 458: 0.000171894 0.00012961 459: 0.000582636 0.00100884 460: 0.00276771 0.00676244 461: 0.000216886 0.00812006 462: 0 0.0280926 463: 0.000322698 0.000150053 464: 4.56427e-05 0.000228917 465: 0.00048365 0.00362168 466: 0 0.000673543 467: 0.00680408 0.0119519 468: 0 0.000530953 469: 0.00011408 0.00101863 470: 0.000342615 0.000273146 471: 0.000194714 0.00571495 472: 0 0.000194345 473: 0.000503738 0.0912871 474: 0.000902178 0.0168482 475: 0.00646557 0.00178136 476: 0 0.0017569 477: 1.21799e-05 0.000166221 478: 0.00228916 0.00107174 479: 0 0.00491128 480: 0.000208075 0.00195386 481: 0 0.000224911 482: 0.00490266 0.0131167 483: 0 0.0121758 484: 0.000176993 0.00057508 485: 1.39144e-05 0.000724186 486: 0 3.40404e-05 487: 0.000723724 0.014577 488: 0 0.0014546 489: 0.00452449 0.01487 490: 0 0.00670026 491: 7.34118e-05 0.00128021 492: 0 0.0455054 493: 0.00284772 0.00650525 494: 0 8.17783e-05 495: 0.00259 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1280: 0.00188919 0 1281: 0.00412871 0 1282: 0.0104213 0 1283: 0.0079975 0 1284: 0.000188862 0 1285: 3.21771e-05 0 1286: 6.64524e-05 0 1287: 6.54226e-40 0 1288: 0.00589764 0 1289: 0.00271987 0 1290: 0.000148114 0 1291: 1.53915e-05 0 1292: 0.00423886 0 1293: 6.90835e-05 0 1294: 2.21192e-05 0 1295: 4.67655e-06 0 1296: 0.000850337 0 1297: 5.19464e-06 0 1298: 2.06601e-05 0 1299: 2.74572e-08 0 1300: 0.000140269 0 1301: 0.000826374 0 1302: 0.00290903 0 1303: 5.44654e-05 0 1304: 0.00109992 0 1305: 2.19217e-05 0 1306: 0.000238813 0 1307: 0.0016583 0 1308: 0.00155867 0 1309: 2.67008e-07 0 1310: 0.000106149 0 1311: 0.000295625 0 1312: 6.54226e-40 0 1313: 0.00180064 0 1314: 0.00127238 0 1315: 0.000100309 0 1316: 0.00121709 0 1317: 0.000173792 0 1318: 0.000338089 0 1319: 0.000326371 0 1320: 0.000456397 0 1321: 0.000182709 0 1322: 0.000288347 0 1323: 0.00575269 0 1324: 0.0213499 0 1325: 4.76458e-06 0 1326: 0.004174 0 1327: 3.94886e-05 0 1328: 0.000346306 0 1329: 3.66542e-06 0 1330: 0.000351041 0 1331: 0.001138 0 1332: 0.085362 0 1333: 0.000195722 0 1334: 0.000122823 0 1335: 0.0166273 0 1336: 0.00132349 0 1337: 8.19201e-05 0 1338: 0.000283223 0 1339: 1.30914e-05 0 1340: 2.5158e-05 0 1341: 7.3408e-06 0 1342: 0.00150668 0 1343: 0.000549132 0 1344: 0.0132393 0 1345: 1.03645e-06 0 1346: 1.44434e-05 0 1347: 6.54226e-40 0 1348: 1.29415e-37 0 1349: 0.000842953 0 1350: 6.54226e-40 0 1351: 8.01986e-05 0 1352: 3.21771e-05 0 1353: 0.00405031 0 1354: 8.81577e-05 0 1355: 0.00102686 0 1356: 0.058435 0 1357: 0.00854805 0 1358: 0.000198267 0 1359: 0.00057224 0 1360: 0.00120558 0 1361: 0.000371462 0 1362: 5.1172e-05 0 1363: 0.000102186 0 1364: 0.00325833 0 1365: 6.54226e-40 0 1366: 0.000416905 0 1367: 0.00108007 0 1368: 1.41705e-05 0 1369: 0.00354109 0 1370: 4.6785e-06 0 1371: 6.54226e-40 0 1372: 0.000168763 0 1373: 0.00376094 0 1374: 9.43499e-05 0 1375: 0.00054556 0 1376: 5.1172e-05 0 1377: 5.87144e-05 0 1378: 0.00263355 0 1379: 0.00859436 0 1380: 0.00125403 0 1381: 7.18131e-06 0 1382: 0.000442728 0 1383: 9.70887e-06 0 1384: 0.000238813 0 1385: 2.5883e-37 0 1386: 1.88654e-06 0 1387: 3.12624e-05 0 1388: 9.88437e-06 0 1389: 0.000437774 0 1390: 2.26203e-05 0 1391: 0.0081573 0 1392: 0.000289634 0 1393: 1.13479e-05 0 1394: 0.000321408 0 1395: 0.00115949 0 1396: 0.00372395 0 1397: 2.2848e-05 0 1398: 0.0017282 0 1399: 2.67302e-05 0 1400: 0.000180361 0 1401: 6.9655e-05 0 1402: 1.47702e-05 0 1403: 1.83852e-05 0 1404: 7.47087e-05 0 1405: 0.000242237 0 1406: 0.000942301 0 1407: 5.11052e-06 0 1408: 0.00229081 0 1409: 1.57262e-06 0 1410: 0.00278975 0 1411: 6.54226e-40 0 1412: 0.000832851 0 1413: 2.49838e-06 0 1414: 0.000101867 0 1415: 9.43499e-05 0 1416: 1.59488e-07 0 1417: 3.24673e-05 0 1418: 6.54226e-40 0 1419: 0.000126962 0 1420: 0.000705033 0 1421: 0.000233915 0 1422: 0.000938944 0 1423: 1.29415e-37 0 1424: 0.000294654 0 1425: 5.5924e-06 0 1426: 0.000971267 0 1427: 6.54226e-40 0 1428: 1.92259e-05 0 1429: 1.52646e-05 0 1430: 1.17106e-06 0 1431: 5.7518e-06 0 1432: 0.00899338 0 1433: 2.34852e-05 0 1434: 0.000362942 0 1435: 0.000830768 0 1436: 9.43499e-05 0 1437: 1.29415e-37 0 1438: 0.000315678 0 1439: 1.69956e-06 0 1440: 0.000918337 0 1441: 0.000419635 0 1442: 0.000180207 0 1443: 1.41212e-05 0 1444: 8.67476e-06 0 1445: 0.00179227 0 1446: 1.32471e-05 0 1447: 0.000270417 0 1448: 9.36899e-08 0 1449: 2.55446e-05 0 1450: 0.0015346 0 1451: 3.24673e-05 0 1452: 0.0123023 0 1453: 6.54226e-40 0 1454: 1.30914e-05 0 1455: 0.000282828 0 1456: 2.1496e-06 0 1457: 0.00054556 0 hits_svd_test03(): Data read from sparse matrix file "large_sparse.txt" Compute authority and hub rankings using HITS SVD algorithm. Number of nonzero elements = 3545 Number of records m = 1458 Number of nodes n = 1458 Computed authority and hub vectors 0: 4.15788e-05 2.51331e-05 1: 0.000640454 0.00294099 2: 0.000103469 0.0056805 3: 0.0837454 0.0100659 4: 0.00106214 0.00227404 5: 0.00810764 0.0165754 6: 1.11022e-16 0.00211071 7: 5.55112e-17 0.00417181 8: 2.31849e-05 4.55073e-05 9: 0.016857 0.000245274 10: 0.000772599 0.00202263 11: 0.000299873 0.0446751 12: 0.0114136 0.00606929 13: 0.000630602 0.0182324 14: 0.000125603 0.00643569 15: 0.00547063 0.0182505 16: 7.94093e-23 1.98523e-23 17: 6.30618e-05 9.67741e-05 18: 0 0.00870103 19: 0.0238155 0.114546 20: 8.95124e-05 3.17906e-05 21: 0.00228352 0.0261292 22: 4.03897e-28 0.0139324 23: 0 0.00167368 24: 0.00895322 0.00409127 25: 0.0129289 0.000494015 26: 9.86076e-32 0.016586 27: 0.364812 0.0849475 28: 1.54074e-33 0.0137317 29: 1.92593e-34 0.000126196 30: 0.00940864 0.164332 31: 0.000240625 0.00322128 32: 0.00081061 1.00985e-05 33: 0.00984511 0.03706 34: 1.46937e-39 0.000148805 35: 0 0.0318582 36: 0.000178062 0.00815786 37: 0.00266436 0.0139321 38: 7.17465e-43 0.00983762 39: 4.48416e-44 0.00124147 40: 1.41101e-05 0.00976261 41: 0.0032554 0.0111442 42: 0.0144733 0.138498 43: 0 0.0269513 44: 0.0122838 0.0256152 45: 0.0671719 0.0283564 46: 0.00884791 0.0465596 47: 0.00118904 0.0135647 48: 0.00317726 0.00804388 49: 1.88505e-06 0.00107986 50: 0.0034062 0.00904103 51: 0.0371816 0.0253979 52: 0.00283667 0.00818805 53: 0.00176838 0.000918707 54: 0.00360545 0.00868309 55: 0 0.00955283 56: 0.00189926 0.0279597 57: 2.66325e-05 0.00144401 58: 0 0.0067272 59: 0.00019807 0.00351535 60: 0 0.00409659 61: 0.000156544 0.000259661 62: 0.00498099 0.00266352 63: 0.056424 0.015916 64: 0.0011899 0.00456245 65: 7.44499e-05 0.014706 66: 0.00401139 0.0147051 67: 0.000315674 0.0150771 68: 0.00302016 0.00582232 69: 0.00170231 0.00167389 70: 0 0.0021435 71: 0.000543013 0.00136749 72: 0.000986118 0.00946931 73: 4.603e-06 1.67959e-06 74: 0.0117486 0.123127 75: 0 0 76: 0 0.0053515 77: 0 0.0112413 78: 0.00180643 0.00306104 79: 0.000432135 0.00314602 80: 5.59214e-06 5.45221e-05 81: 0.00183333 0.0192469 82: 0.000282483 0.0026382 83: 0.000106647 0.00134943 84: 0 0.000118412 85: 0 0.000403636 86: 3.99253e-05 0.014388 87: 0.000496924 0.00738209 88: 0.000849533 0.00275415 89: 0.000269175 0.00287555 90: 0.00790249 0.00249483 91: 0.0170025 0.145846 92: 0 0 93: 1.92291e-05 1.83788e-05 94: 0.00123047 0.00397053 95: 0 0 96: 0 0.00382721 97: 0.000410054 0.000306975 98: 0.00383379 0.0271997 99: 0.00872097 0.0044606 100: 0 0.00231249 101: 0.000533977 0.00961443 102: 0.000216859 0.00247216 103: 0.000149419 0.000405384 104: 0.00119697 0.0111627 105: 0.00286772 0.00192376 106: 0 0.000515857 107: 0 0.00718073 108: 0 0.00476996 109: 0.0189685 0.0179386 110: 0.00916733 0.00139168 111: 0.0327857 0.0441027 112: 0.0291641 0.130201 113: 0 0.00535793 114: 0 0.00288862 115: 0.00158359 0.0012822 116: 0.000278027 0.00134841 117: 0 0.000728006 118: 0 0.0353261 119: 0.00302175 0.00857794 120: 0.0139382 0.13953 121: 0 0.00307775 122: 0.000125603 0.000146641 123: 0 0.0109435 124: 0.0029824 0.00099598 125: 0.00105741 0.0229348 126: 0.00187189 0.0323999 127: 0 0.00436278 128: 0.0304491 0.105284 129: 0.00106207 0.000252445 130: 0.0230356 0.0142311 131: 0.000563227 0.0010377 132: 0.000507213 0.00596367 133: 0.00317524 0.0192098 134: 0 0.0248569 135: 0.000320868 0.00164488 136: 0.000552379 0.0015435 137: 0.000507436 0.000313707 138: 0.00118696 0.0104217 139: 1.59605e-05 0.000933951 140: 0 0.0556222 141: 0.000385468 5.38036e-05 142: 0.000496137 0.0833823 143: 9.92577e-06 0.00226036 144: 0.0143111 0.135895 145: 0.0022235 0.00872369 146: 0.00143347 0.00368292 147: 0.00452624 0.0083859 148: 0.00232402 0.00343976 149: 0.000335518 0.000434725 150: 0 0 151: 0 0.0406961 152: 0 0.00103979 153: 7.20465e-05 0.00662159 154: 5.51844e-06 5.05674e-05 155: 0.0141531 0.0289028 156: 0 0.00392793 157: 0 0.000682709 158: 0.00384642 0.013451 159: 0.000104824 0.000962789 160: 0 0.00128607 161: 3.58649e-05 0.000187422 162: 0 2.40498e-05 163: 2.3417e-05 0.0012246 164: 0.0234783 0.0961718 165: 5.13524e-05 0.000500675 166: 0.0451068 0.0272093 167: 0.00570999 0.014937 168: 0.000894757 0.13531 169: 0.00198451 0.00058531 170: 0.00120468 0.0108766 171: 0.0149069 0.00498675 172: 0.00467606 0.000568769 173: 0.0255285 0.0030762 174: 0 0.00595408 175: 0 0.0416828 176: 0 0.000679099 177: 0.00318091 0.108019 178: 0 4.07312e-05 179: 0 0.0070274 180: 0.00706256 0.0263069 181: 0 0.00152653 182: 0 3.66292e-05 183: 0.00163378 0.00614969 184: 0.00155394 0.015708 185: 0.00458582 0.00140916 186: 0.00106892 0.00984184 187: 0 0.00960241 188: 0.000348418 0.00376917 189: 0.000318293 0.000264431 190: 1.80539e-05 8.4565e-05 191: 7.44499e-05 0.0034376 192: 0 0.000220489 193: 0.00030165 0.124572 194: 0.00540644 0.0332612 195: 0.00332056 0.00566463 196: 0 4.56077e-05 197: 0.198547 0.0160841 198: 0.0346284 0.106942 199: 0.000124806 0.00588846 200: 0.000954726 0.00437407 201: 0.000171272 0.00866644 202: 0 0.00164534 203: 0.00018018 0.010702 204: 0.000333603 4.23607e-05 205: 0.000886804 0.000713347 206: 0 0.000201187 207: 0.000416025 0.000363592 208: 0 0.000140819 209: 0.021295 0.00616601 210: 0.00236026 0.0102886 211: 0 0.002944 212: 0.00172615 0.000688879 213: 0.0283665 0.0247202 214: 0.000362899 0.00318165 215: 0 0.00748831 216: 0.000378193 7.97343e-05 217: 0.000426292 0.0160419 218: 0.0307991 0.00589394 219: 0.00131899 3.04184e-05 220: 0.000275185 0.0012601 221: 0 0.00184134 222: 0 0.00280922 223: 0.0435343 0.00318195 224: 0.000367248 0.00289995 225: 0 1.17937e-05 226: 5.13524e-05 0.000500675 227: 0 0.00344558 228: 6.64533e-05 0.0008128 229: 0.000679153 0.000128231 230: 0.00219903 0.00937723 231: 0 0 232: 0.00387051 0.14053 233: 0 0.00919442 234: 0 0.000981689 235: 0 0.000445511 236: 3.44744e-05 0.000226047 237: 0.000153779 4.64511e-05 238: 0.00426879 0.00316215 239: 0.0373586 0.0940202 240: 0.0058209 0.00158489 241: 0.000346279 0.00766446 242: 4.66752e-06 0.000159548 243: 0 0.00614824 244: 0.00436539 0.00396563 245: 0.00326577 0.0199864 246: 0.00247329 0.0080999 247: 0.1091 0.155148 248: 0.000686097 0.00169421 249: 0.00331064 0.00491172 250: 0.00103979 0.104299 251: 0.00642848 0.00767217 252: 0.00098164 0.00549135 253: 0.000352299 0.00200575 254: 0.00144726 0.039685 255: 0.000882777 0.149026 256: 0 8.81829e-05 257: 0.0157541 0.0319991 258: 0 0.037509 259: 0 0.0097521 260: 0.00128162 0.0118623 261: 0 1.53325e-05 262: 0.011675 0.0336068 263: 0 0.000909453 264: 0 8.22592e-05 265: 0.00225086 0.00332047 266: 8.46598e-06 0.00207035 267: 0.000503717 0.0129037 268: 0.000105011 0.000907434 269: 0.000620061 0.00416265 270: 0.00149974 0.00150963 271: 0 0.00308147 272: 0.0136919 0.00933865 273: 0.00152474 0.0132619 274: 0 0.00342257 275: 0 0.0109236 276: 0.000549533 0.00425963 277: 0.00617631 0.00316582 278: 0.00022117 0.00668639 279: 2.42759e-05 0.00379415 280: 0.00202733 0.00708049 281: 0.0016463 0.00309743 282: 0 5.59896e-05 283: 0 0.000213631 284: 0.00210145 0.000938373 285: 0.000630074 0.00224552 286: 0 0.00157105 287: 0 0.000859196 288: 0.0142283 0.0263873 289: 3.21758e-05 0.00494739 290: 0.00170575 5.91443e-05 291: 0.000116004 0.000994446 292: 0.00018835 0.00359284 293: 0.00127867 0.0162038 294: 0 0.0187216 295: 0.000184473 0.000289106 296: 0 0.00236181 297: 0.00128347 0.00194974 298: 0 0.00119542 299: 0.00665613 0.134191 300: 0.000882777 0.0149623 301: 0.000508447 9.44374e-05 302: 3.32005e-05 0.010883 303: 0.0153898 0.0931679 304: 0.000448632 0.132995 305: 0.000896113 0.00375287 306: 0.00446441 0.0173683 307: 0 0.0363086 308: 0 0.000199908 309: 0.00671378 0.0070557 310: 0.000533977 0.040048 311: 0 0.00137449 312: 0.000295919 0.000635216 313: 0 0.00111222 314: 0.00135244 0.00148478 315: 0.00189481 0.00221915 316: 0 9.35141e-06 317: 0.0145821 0.00236043 318: 0 0.0890768 319: 0.00149868 0.0149498 320: 0.000902189 0.00557935 321: 0.0167031 0.0232988 322: 0 0.000137571 323: 0.0778732 0.124524 324: 0.000103469 0.0485021 325: 0 0.0144664 326: 0.000184623 0.085728 327: 0 0.00790327 328: 0.00407034 0.00705481 329: 0.00349627 0.0130952 330: 0.000427887 0.00282356 331: 0.00331064 0.00491172 332: 0.0135614 0.0781842 333: 0.000720955 0.00548339 334: 0 0.0373786 335: 0 0.00651698 336: 0.00131917 0.0110947 337: 0.00235635 0.017473 338: 0.000178062 0.000150851 339: 0 0.00874462 340: 0.00493347 0.00776585 341: 0.017877 0.0366275 342: 0.00165308 0.124712 343: 0.183314 0.128083 344: 0.000524765 0.00431633 345: 0 7.00091e-05 346: 0.000860111 0.00976393 347: 0.0273604 0.0217988 348: 5.83365e-05 0.0347361 349: 0 0.000298653 350: 0.0276715 0.0434542 351: 0 0.0145372 352: 0.000100124 0.00237916 353: 4.90331e-06 1.94064e-06 354: 2.30501e-05 0.00014514 355: 0.0017814 0.0323643 356: 0 0.000169792 357: 2.14899e-06 0.00137759 358: 0.000154385 2.09521e-05 359: 0 4.78062e-05 360: 0 0.00659176 361: 0.00125974 0.00600242 362: 0 0.0018984 363: 0.00566299 0.00812597 364: 0 0.00183637 365: 0 0 366: 0.000489591 0.00653933 367: 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8.81246e-05 0 1355: 0.00102683 0 1356: 0.0584361 0 1357: 0.00854818 0 1358: 0.000198083 0 1359: 0.000572253 0 1360: 0.0012056 0 1361: 0.000371463 0 1362: 5.11598e-05 0 1363: 0.000101997 0 1364: 0.00325769 0 1365: 0 0 1366: 0.000416774 0 1367: 0.00107999 0 1368: 1.41432e-05 0 1369: 0.00354068 0 1370: 4.67782e-06 0 1371: 0 0 1372: 0.000168756 0 1373: 0.00375945 0 1374: 9.41789e-05 0 1375: 0.000545311 0 1376: 5.11598e-05 0 1377: 5.87022e-05 0 1378: 0.00263323 0 1379: 0.00859452 0 1380: 0.00125336 0 1381: 7.18057e-06 0 1382: 0.00044271 0 1383: 9.6861e-06 0 1384: 0.000238785 0 1385: 0 0 1386: 1.88505e-06 0 1387: 3.12556e-05 0 1388: 9.86427e-06 0 1389: 0.000437768 0 1390: 2.26148e-05 0 1391: 0.00815749 0 1392: 0.000289603 0 1393: 1.13232e-05 0 1394: 0.000321365 0 1395: 0.00115912 0 1396: 0.00372404 0 1397: 2.28283e-05 0 1398: 0.00172771 0 1399: 2.66795e-05 0 1400: 0.000180105 0 1401: 6.96527e-05 0 1402: 1.47682e-05 0 1403: 1.83823e-05 0 1404: 7.4669e-05 0 1405: 0.000242243 0 1406: 0.0009421 0 1407: 5.10236e-06 0 1408: 0.00229074 0 1409: 1.5726e-06 0 1410: 0.00278978 0 1411: 0 0 1412: 0.000832831 0 1413: 2.49409e-06 0 1414: 0.000101859 0 1415: 9.41789e-05 0 1416: 1.59465e-07 0 1417: 3.24458e-05 0 1418: 0 0 1419: 0.00012695 0 1420: 0.000704872 0 1421: 0.000233908 0 1422: 0.000938922 0 1423: 0 0 1424: 0.000294659 0 1425: 5.59214e-06 0 1426: 0.000971233 0 1427: 0 0 1428: 1.92232e-05 0 1429: 1.52624e-05 0 1430: 1.17094e-06 0 1431: 5.74265e-06 0 1432: 0.00899011 0 1433: 2.3464e-05 0 1434: 0.000362899 0 1435: 0.000830778 0 1436: 9.41789e-05 0 1437: 0 0 1438: 0.000315674 0 1439: 1.69914e-06 0 1440: 0.000917957 0 1441: 0.000419627 0 1442: 0.00018018 0 1443: 1.41101e-05 0 1444: 8.67353e-06 0 1445: 0.00179214 0 1446: 1.32214e-05 0 1447: 0.000270073 0 1448: 9.36841e-08 0 1449: 2.55323e-05 0 1450: 0.00153463 0 1451: 3.24458e-05 0 1452: 0.0123025 0 1453: 3.19273e-25 0 1454: 1.30909e-05 0 1455: 0.000282826 0 1456: 2.14899e-06 0 1457: 0.000545311 0 hits_test(): Normal end of execution. Thu Sep 15 20:33:20 2022