Assume a network with \( N \) nodes. Each node \(i\) has a hidden label \(t_i \in \{1, 2, \dots, q\} \).

Mixed membership models #

A "mixed-membership" model assumes that each node may have multiple hidden labels (see Overlapping community structure).

• Mixed Membership Stochastic Blockmodels - Paper/Airoldi2008mmsbm

References #

• Community Detection and Stochastic Block Models - a review paper by Emmanuel Abbe

• http://arxiv.org/abs/1008.3926 - Stochastic blockmodels and Community structure in networks

• http://arxiv.org/abs/1403.2933 - Efficiently inferring Bipartite community structure.
• Blockmodeling techniques for complex networks
• Efficient discovery of overlapping communities in massive networks - Paper/Gopalan2012community

Incoming Links #

Related Articles (Article 0) #

• Bipartite community structure
• Block model
• Community detectability
• Overlapping community structure

Related Scholarly Articles (ScholarlyArticle 1) #

• Paper/Gopalan2012community

Suggested Pages #

• 0.235 Seed set expansion
• 0.189 Affiliation graph model
• 0.070 Link community
• 0.039 Dynamic community structure
• 0.038 Line graph
• 0.030 Cluster validation
• 0.028 Community
• 0.025 Pajek
• 0.024 Eric Xing
• 0.024 Local community detection
• More suggestions...