-
1
-
-
38349157799
-
Adaptive coevolutionary networks: A review
-
Gross, T. & Blasius, B. Adaptive coevolutionary networks: a review. J. R. Soc. 5, 259-271 (2008).
-
(2008)
J. R. Soc.
, vol.5
, pp. 259-271
-
-
Gross, T.1
Blasius, B.2
-
2
-
-
0000074275
-
Choosing a centrality measure: Epidemiologic correlates in the Colorado Springs study of social networks
-
Rothenberg, R. et al. Choosing a centrality measure: Epidemiologic correlates in the Colorado Springs study of social networks. Soc. Networks 17, 273-297 (1995).
-
(1995)
Soc. Networks
, vol.17
, pp. 273-297
-
-
Rothenberg, R.1
-
3
-
-
70349285506
-
-
Valente, T. W., Coronges, K., Lakon, C. & Costenbader, E. How Correlated Are Network Centrality Measures? Connections 28, 16-26 (2008).
-
(2008)
How Correlated Are Network Centrality Measures? Connections
, vol.28
, pp. 16-26
-
-
Valente, T.W.1
Coronges, K.2
Lakon, C.3
Costenbader, E.4
-
4
-
-
0038589165
-
The anatomy of a large-scale hypertextual web search engine
-
Brin, S. & Page, L. The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems 30, 107-117 (1998).
-
(1998)
Computer Networks and ISDN Systems
, vol.30
, pp. 107-117
-
-
Brin, S.1
Page, L.2
-
5
-
-
84881038262
-
-
Human Journal
-
Sharara, H., Singh, L., Getoor, L. & Mann, J. Finding Prominent Actors in Dynamic Affiliation Networks. Human Journal 1, 1-14 (2012).
-
(2012)
Finding Prominent Actors in Dynamic Affiliation Networks.
, vol.1
, pp. 1-14
-
-
Sharara, H.1
Singh, L.2
Getoor, L.3
Mann, J.4
-
7
-
-
84860852495
-
-
New York, NY, USA: ACM. April
-
Litchenwalter, R. & Chawla, N. V. Vertex Collocation Profiles: Subgraph Counting for Link Analysis and Prediction. Proceedings of the 21st international conference on World Wide Web, Lyon 1019-1028. New York, NY, USA: ACM. (2012 April).
-
(2012)
Vertex Collocation Profiles: Subgraph Counting for Link Analysis and Prediction. Proceedings of the 21st International Conference on World Wide Web Lyon
, pp. 1019-1028
-
-
Litchenwalter, R.1
Chawla, N.V.2
-
8
-
-
0038483826
-
Emergence of Scaling in Random Networks
-
Barabasi, A. & Albert, R. Emergence of Scaling in Random Networks. Science 286, 509-512 (1999).
-
(1999)
Science
, vol.286
, pp. 509-512
-
-
Barabasi, A.1
Albert, R.2
-
9
-
-
84883282323
-
A coevolving model based on preferential triadic closure for social media networks
-
Li, M. et al. A coevolving model based on preferential triadic closure for social media networks. Sci. Rep. 3, 2512 (2013).
-
(2013)
Sci. Rep.
, vol.3
, pp. 2512
-
-
Li, M.1
-
10
-
-
0032482432
-
Collective dynamics of 'small-world' networks
-
Watts, D. J. & Strogatz, S. H. Collective dynamics of 'small-world' networks. Nature 393, 440-442 (1998).
-
(1998)
Nature
, vol.393
, pp. 440-442
-
-
Watts, D.J.1
Strogatz, S.H.2
-
11
-
-
24744469980
-
Power laws Pareto Distributions, and Zipf's law
-
Newman, M. E. J. Power laws, Pareto Distributions, and Zipf's law. Contemp. Phys. 46, 323-351 (2005).
-
(2005)
Contemp. Phys.
, vol.46
, pp. 323-351
-
-
Newman, M.E.J.1
-
12
-
-
0035475794
-
Structure of growing social networks
-
Jin, E. M., Girvan, M. & Newman, M. E. J. Structure of Growing Social Networks. Phys. Rev. E. 64, 4 (2001).
-
(2001)
Phys. Rev. E.
, vol.64
, pp. 4
-
-
Jin, E.M.1
Girvan, M.2
Newman, M.E.J.3
-
13
-
-
77956192510
-
-
New York, NY, USA: ACM. July
-
Litchenwalter, R. N., Lussier, J. T. & Chawla, N. V. New Perspectives andMethods in Link Prediction. Proceedings of the 16thACMSIGKDD international conference on Knowledge discovery and data mining, Washington DC 243-252. New York, NY, USA: ACM. (2010 July).
-
(2010)
New Perspectives AndMethods in Link Prediction.Proceedings of the 16thACMSIGKDD International Conference on Knowledge Discovery and Data Mining, Washington DC
, pp. 243-252
-
-
Litchenwalter, R.N.1
Lussier, J.T.2
Chawla, N.V.3
-
14
-
-
85147400756
-
Probabilistic topic models with biased propagation on heterogeneous information networks.Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
-
New York, NY, USA: ACM. August
-
Deng, H. et al. Probabilistic topic models with biased propagation on heterogeneous information networks. Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, San Diego 1271-1279. New York, NY, USA: ACM. (2011 August).
-
(2011)
San Diego
, pp. 1271-1279
-
-
Deng, H.1
-
15
-
-
84924178998
-
Community structure in large networks: Natural cluster sizes and the absence of large well-defined clusters
-
Leskovec, J., Lang, K., Dasgupta, A. & Mahoney, M. Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters. Internet Mathematics 6, 29-123 (2009).
-
(2009)
Internet Mathematics
, vol.6
, pp. 29-123
-
-
Leskovec, J.1
Lang, K.2
Dasgupta, A.3
Mahoney, M.4
-
16
-
-
84995477295
-
On the evolution of user interaction in Facebook. Proceedings of the 2nd ACM
-
New York, NY, USA: ACM. August
-
Viswanath, B., Mislove, A., Cha, M. & Gummadi, K. P. On the evolution of user interaction in Facebook. Proceedings of the 2nd ACM workshop on Online social networks, Barcelona 37-42. New York, NY, USA: ACM. (2009 August).
-
(2009)
Workshop on Online Social Networks, Barcelona
, pp. 37-42
-
-
Viswanath, B.1
Mislove, A.2
Cha, M.3
Gummadi, K.P.4
-
17
-
-
84879391851
-
Triadic closure dynamics drives scaling-laws in social multiplex networks
-
Klimek, P. & Thurner, S. Triadic Closure Dynamics Drives Scaling-laws in Social Multiplex Networks. New J. Phys. 15, 063008 (2013).
-
(2013)
New J. Phys.
, vol.15
, pp. 063008
-
-
Klimek, P.1
Thurner, S.2
-
18
-
-
77956372873
-
-
Szell, M., Lambiotte, R. & Thurner, S. Multirelational Organization of Large-scale Social Networks in an Online World. Proc. Natl. Acad. Sci. 107, 13636-13641 (2010).
-
(2010)
Multirelational Organization of Large-scale Social Networks in An Online World. Proc. Natl. Acad. Sci.
, vol.107
, pp. 13636-13641
-
-
Szell, M.1
Lambiotte, R.2
Thurner, S.3
-
19
-
-
65449171667
-
-
Microscopic Evolution of Social Networks. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, Las Vegas New York, NY, USA: ACM. August
-
Leskovec, J., Backstrom, L., Kumar, R. & Tomkins, A. Microscopic Evolution of Social Networks. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, Las Vegas 462-470. New York, NY, USA: ACM. (2008 August).
-
(2008)
, pp. 462-470
-
-
Leskovec, J.1
Backstrom, L.2
Kumar, R.3
Tomkins, A.4
-
20
-
-
77951951262
-
Emergence of global preferential attachment from local interaction
-
Li, M. et al. Emergence of global preferential attachment from local interaction. New J. Phys. 12, 043029 (2010).
-
(2010)
New J. Phys.
, vol.12
, pp. 043029
-
-
Li, M.1
-
21
-
-
4243206713
-
Emergence of a small world from local interactions: Modeling acquaintance networks
-
Davidsen, J., Ebel, H. & Bornholdt, S. Emergence of a small world from local interactions: Modeling acquaintance networks. Phys. Rev. Lett. 88, 28701 (2002).
-
(2002)
Phys. Rev. Lett.
, vol.88
, pp. 28701
-
-
Davidsen, J.1
Ebel, H.2
Bornholdt, S.3
-
22
-
-
1242297101
-
The rise and fall of a networked society: A formal model
-
Marsili, M., Vega-Redondo, F. & Slanina, F. The rise and fall of a networked society: A formal model. Proc. Natl. Acad. Sci. 101, 1439 (2004).
-
(2004)
Proc. Natl. Acad. Sci.
, vol.101
, pp. 1439
-
-
Marsili, M.1
Vega-Redondo, F.2
Slanina, F.3
-
23
-
-
69249231965
-
A comparative study of social network models: Network evolution models and nodal attribute models
-
Toivonen, R. et al. A comparative study of social network models: Network evolution models and nodal attribute models. Soc. Networks 31, 240 (2009).
-
(2009)
Soc. Networks
, vol.31
, pp. 240
-
-
Toivonen, R.1
-
24
-
-
84893131204
-
A set of measures of centrality based on betweenness
-
Freeman L.
-
Freeman, L. A set of measures of centrality based on betweenness. Sociometry 40, 35-41 (1977).
-
(1977)
Sociometry
, vol.40
, pp. 35-41
-
-
-
25
-
-
0013987194
-
The centrality index of a graph
-
Sabidussi, G. The centrality index of a graph. Psychometrika 31, 581-603 (1966).
-
(1966)
Psychometrika
, vol.31
, pp. 581-603
-
-
Sabidussi, G.1
-
26
-
-
0036630603
-
Areas Beneath the Relative Operating Characteristics (roc) and Relative Operating Levels (rol) Curves: Statistical Significance and Interpretation.
-
Mason, S. J. & Graham,N. E.Areas Beneath the Relative Operating Characteristics (roc) and Relative Operating Levels (rol) Curves: Statistical Significance and Interpretation. Q. J. Roy. Meteor. Soc. 128, 2145-2166 (2002).
-
(2002)
Q. J. Roy. Meteor. Soc.
, vol.128
, pp. 2145-2166
-
-
Mason, S.J.1
Graham, N.E.2
-
27
-
-
26944454497
-
ROC Graphs: Notes and Practical Considerations for Researchers
-
Fawcett, T. ROC Graphs: Notes and Practical Considerations for Researchers. ReCALL 31, 1-38 (2004).
-
(2004)
ReCALL
, vol.31
, pp. 1-38
-
-
Fawcett, T.1
-
28
-
-
34250727580
-
The Relationship between Precision-recall and ROC Curves.Proceedings of the 23rd international conference on Machine learning
-
New York, NY, USA: ACM. June
-
Davis, J. & Goadrich, M. The Relationship Between Precision-recall and ROC Curves. Proceedings of the 23rd international conference on Machine learning, Pittsburgh 233-240. New York, NY, USA: ACM. (2006 June).
-
(2006)
Pittsburgh
, pp. 233-240
-
-
Davis, J.1
Goadrich, M.2
-
29
-
-
84860701746
-
Image de-noising with a multi-phase kernel principal component approach and an ensemble version
-
New York, NY, USA: IEEE. October
-
Sahu, A., Runger, G. & Apley, D. Image de-noising with a multi-phase kernel principal component approach and an ensemble version. Applied Imagery Pattern Recognition Workshop (AIPR), Washington DC 1-7. New York, NY, USA: IEEE. (2011 October).
-
(2011)
Applied Imagery Pattern Recognition Workshop (AIPR), Washington DC
, pp. 1-7
-
-
Sahu, A.1
Runger, G.2
Apley, D.3
|