Abstract
The structure of a social network changes over time. Structural change is usually studied by observing interactions within the network. The evolution of a community depends upon the changes in activity and communication patterns of individuals in the network. The major events and transitions that occur in a community are birth, death, merging, splitting, reform, expansion and shrinkage. Here, we focus on tracking and analyzing various events of a community which change over time. This chapter predicts the survival of communities based on events by extracting their most influential features.
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Hashim, S., Gopal, G.N., Kovoor, B.C. (2019). Predicting Survival of Communities in a Social Network. In: Krishna, A., Srikantaiah, K., Naveena, C. (eds) Integrated Intelligent Computing, Communication and Security. Studies in Computational Intelligence, vol 771. Springer, Singapore. https://doi.org/10.1007/978-981-10-8797-4_4
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DOI: https://doi.org/10.1007/978-981-10-8797-4_4
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