Community Evolution in Dynamic Social Networks -- Challenges and Problems

Information networks that describe the relationship between individuals are called social networks and are usually modeled by a graph structure. Social network analysis is the study of these information networks which leads to uncover patterns of interaction among the entities. Most social networks...

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Bibliographic Details
Main Author: Takaffoli, M.
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Communities
Community evolution
Community mining
Data mining
Dynamic social network
Evolutionary analysis
Heuristic algorithms
Measurement
Predictive models
Social network services
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Summary:Information networks that describe the relationship between individuals are called social networks and are usually modeled by a graph structure. Social network analysis is the study of these information networks which leads to uncover patterns of interaction among the entities. Most social networks are dynamic, and studying the evolution of these networks over time could provide insight into the changes that occurred in the iteration patterns and also the future trends of the networks. Furthermore, in a dynamic scenario, communities, which are groups of densely interconnected nodes, are affected by changes in the underlying population. The analysis of communities and their evolutions can help determine the characteristics and structural properties of the network. Here, we provide a brief overview of the existing research in the area of dynamic social network analysis, their limitations, and the challenges that are exists for further analysis.
ISSN:2375-9232
2375-9259
DOI:10.1109/ICDMW.2011.52