A multiobjective Cuckoo Search Algorithm for community detection in social networks
Shafieh Ghafori and Farhad Soleimanian Gharehchopogh Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran.
Abstract
This chapter proposes a new model based on the Multiobjective Cuckoo Search Algorithm (MOCSA) for community detection (CD) on social media. The MOCSA model uses a new strategy based on close neighbors' detection in the objective function to increase the CD's accuracy and speed on social networks. The evaluation will be performed on eight datasets such as Karate, Dolphins, Polbooks, Football, Email, Geom, NetScience, and Power Grid. The results show that the normalized mutual information (NMI) value ...
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