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» On Randomness Measures for Social Networks.
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WWW
2010
ACM
13 years 7 months ago
Randomization tests for distinguishing social influence and homophily effects
Relational autocorrelation is ubiquitous in relational domains. This observed correlation between class labels of linked instances in a network (e.g., two friends are more likely ...
Timothy La Fond, Jennifer Neville
WWW
2011
ACM
13 years 2 months ago
Finding hierarchy in directed online social networks
Social hierarchy and stratification among humans is a well studied concept in sociology. The popularity of online social networks presents an opportunity to study social hierarch...
Mangesh Gupte, Pravin Shankar, Jing Li, S. Muthukr...

Publication
203views
13 years 7 months ago
Multigraph Sampling of Online Social Networks
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods ...
Minas Gjoka, Carter T. Butts, Maciej Kurant, Athin...
ASUNAM
2009
IEEE
14 years 2 months ago
Social Network Discovery Based on Sensitivity Analysis
—This paper presents a novel methodology for social network discovery based on the sensitivity coefficients of importance metrics, namely the Markov centrality of a node, a metr...
Tarik Crnovrsanin, Carlos D. Correa, Kwan-Liu Ma
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 4 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel