Living Reference Work Entry

Encyclopedia of Social Network Analysis and Mining

pp 1-11

Date: Latest Version

Behavior Modeling in Social Networks

  • Meng JiangAffiliated withDepartment of Computer Science and Engineering, University of Notre Dame Email author 


Applied behavior analysis in social networks; Behavioral analytics in social networks



Collaborative filtering


Latent Dirichlet Allocation: an effective topic model


Online social networks

Power law

A functional relationship between two quantities where a relative change in one quantity results in a proportional relative change in the other quantity: one quantity varies as a power of another


Recommender systems


Suspicious behavior detection: detecting fake reviews, fake social accounts, spammers, fake relationships, and fraudsters

Social context

Contextual factors that determine users’ behaviors in social environments such as influence, trust, and preference


User-generated content


Behavior modeling in social networks is a core framework of the “data-to-knowledge-to-service” pipeline with behavioral data as input to support services and systems of the OSNs including precise recommendation and spam and fraud detection (Fig. 1). The main object in the behavi ...

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