-
1
-
-
10944272139
-
Friends and neighbors on the Web
-
L. A. Adamic and E. Adar. Friends and neighbors on the Web. Social Networks, 25(2):211-230, 2003.
-
(2003)
Social Networks
, vol.25
, Issue.2
, pp. 211-230
-
-
Adamic, L.A.1
Adar, E.2
-
2
-
-
18744421488
-
Mean-field theory for scale-free random networks
-
R. Albert, A. Barabási, and H. Jeong. Mean-field theory for scale-free random networks. Physica A, 272:173-187, 1999.
-
(1999)
Physica A
, vol.272
, pp. 173-187
-
-
Albert, R.1
Barabási, A.2
Jeong, H.3
-
4
-
-
0037102646
-
Evolution of the social network of scientific collaborations
-
A. L. Barabási, J. Jeong, Z. Neda., E. Ravasz, A. Shubert, and T. Vicsek. Evolution of the social network of scientific collaborations. Physica A, 311(3-4):590-614, 2002.
-
(2002)
Physica A
, vol.311
, Issue.3-4
, pp. 590-614
-
-
Barabási, A.L.1
Jeong, J.2
Neda, Z.3
Ravasz, E.4
Shubert, A.5
Vicsek, T.6
-
7
-
-
84862892882
-
Link prediction using supervised learning
-
M. A. Hasan, V Chaoji, S. Salem, and M. Zaki. Link prediction using supervised learning. In Workshop on Link Discovery: Issues, Approaches and Applications (LinkKDD-2005), 2005.
-
(2005)
Workshop on Link Discovery: Issues, Approaches and Applications (LinkKDD-2005)
-
-
Hasan, M.A.1
Chaoji, V.2
Salem, S.3
Zaki, M.4
-
8
-
-
85019130815
-
A comparison of new and old algorithms for a mixture estimation problem
-
D. Helmbold, R. Schapire, Y Singer, and M. Warmuth. A comparison of new and old algorithms for a mixture estimation problem. In Proceedings of the Eighth Annual Workshop on Computational Learning Theory (COLT), pages 69-78, 1995.
-
(1995)
Proceedings of the Eighth Annual Workshop on Computational Learning Theory (COLT)
, pp. 69-78
-
-
Helmbold, D.1
Schapire, R.2
Singer, Y.3
Warmuth, M.4
-
11
-
-
0345863935
-
The KEGG resources for deciphering the genome
-
M. Kanehisa, S. Goto, S. Kawashima, Y Okuno, and M. Hattori. The KEGG resources for deciphering the genome. Nucleic Acids Research, 32:D277-D280, 2004.
-
(2004)
Nucleic Acids Research
, vol.32
-
-
Kanehisa, M.1
Goto, S.2
Kawashima, S.3
Okuno, Y.4
Hattori, M.5
-
12
-
-
0002827622
-
A new status index derived from sociometric analysis
-
L. Katz. A new status index derived from sociometric analysis. Psycometrika, 18(1):39-43, 1953.
-
(1953)
Psycometrika
, vol.18
, Issue.1
, pp. 39-43
-
-
Katz, L.1
-
13
-
-
84899841718
-
The Web as a graph: Measurements, models and methods
-
J. M. Kleinberg, R. Kumar, P. Raghavan, S. Rajagopalan, and A. S. Tomkins. The Web as a graph: Measurements, models and methods. Lecture Notes in Computer Science, 1627:1-17, 1999.
-
(1999)
Lecture Notes in Computer Science
, vol.1627
, pp. 1-17
-
-
Kleinberg, J.M.1
Kumar, R.2
Raghavan, P.3
Rajagopalan, S.4
Tomkins, A.S.5
-
14
-
-
0034497785
-
Stochastic models for the web graph
-
R. Kumar, P. Raghavan, S. Rajagopalan, D. Sivakumar, A. Tomkins, and E. Upfal. Stochastic models for the web graph. In IEEE Symposium on Foundations of Computer Science (FOCS), 2000.
-
(2000)
IEEE Symposium on Foundations of Computer Science (FOCS)
-
-
Kumar, R.1
Raghavan, P.2
Rajagopalan, S.3
Sivakumar, D.4
Tomkins, A.5
Upfal, E.6
-
17
-
-
0035420724
-
Clustering and preferential attachment in growing networks
-
025102
-
M. E. J. Newman. Clustering and preferential attachment in growing networks. Physical Review Letters E, 64(025102), 2001.
-
(2001)
Physical Review Letters E
, vol.64
-
-
Newman, M.E.J.1
-
18
-
-
0038718854
-
The structure and function of complex networks
-
M. E. J. Newman. The structure and function of complex networks. SIAM Review, 45(2): 167-256, 2003.
-
(2003)
SIAM Review
, vol.45
, Issue.2
, pp. 167-256
-
-
Newman, M.E.J.1
-
19
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
K. Nigam, A. K. McCallum, S. Thrun, and T. M. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3): 103-134, 2000.
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.K.2
Thrun, S.3
Mitchell, T.M.4
-
20
-
-
34247527717
-
Prediction and ranking algorithms for event-based network data
-
J. O'Madadhain, J. Hutchins, and P. Smyth. Prediction and ranking algorithms for event-based network data. SIGKDD Explorations, 7(2):23-30, 2005.
-
(2005)
SIGKDD Explorations
, vol.7
, Issue.2
, pp. 23-30
-
-
O'Madadhain, J.1
Hutchins, J.2
Smyth, P.3
-
24
-
-
19544368196
-
Learning kernels from biological networks by maximizing entropy
-
K. Tsuda and W. S. Noble. Learning kernels from biological networks by maximizing entropy. Bioinformatics, 20(Suppl. 1):i326-i333, 2004.
-
(2004)
Bioinformatics
, vol.20
, Issue.SUPPL. 1
-
-
Tsuda, K.1
Noble, W.S.2
-
25
-
-
0037161731
-
Comparative assessment of large-scale data sets of protein-protein interactions
-
C. von Mering, R. Krause, B. Snel, M. Cornell, S. Olivier, S. Fields, and P. Bork. Comparative assessment of large-scale data sets of protein-protein interactions. Nature, 417:399-403, 2002.
-
(2002)
Nature
, vol.417
, pp. 399-403
-
-
von Mering, C.1
Krause, R.2
Snel, B.3
Cornell, M.4
Olivier, S.5
Fields, S.6
Bork, P.7
-
27
-
-
29144446142
-
Supervised enzyme network inference from the integration of genomic data and chemical information
-
Y Yamanishi, J.-P. Vert, and M. Kanehisa. Supervised enzyme network inference from the integration of genomic data and chemical information. Bioinformatics, 21:i468-i477, 2005.
-
(2005)
Bioinformatics
, vol.21
-
-
Yamanishi, Y.1
Vert, J.-P.2
Kanehisa, M.3
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