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» On Randomness Measures for Social Networks.
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WWW
2010
ACM
13 years 5 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 16 days 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 5 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 13 days 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 2 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