• Ashwini Ahire
• Prof. Vipin Wani

Finding overlapping communities from multimedia system social networks is a remarkable and vital drawback in data processing and recommender systems. However, extant overlapping community discovery with swarm intelligence usually generates overlapping community structures with superfluous tiny communities. To subsume the matter, during this paper associate degree efficient rule LEPSO is planned for overlapping communities discovery, that is predicated on Line graph theory, Ensemble learning and Particle Swarm improvement (PSO). Specifically, a separate PSO, consisting of associate degree coding theme with ordered neighbors and a particle change strategy with ensemble bunch, is devised for up the improvement ability to go looking communities hidden in social networks. Then, a post-processing strategy is given for merging the finer-grained and suboptimal overlapping communities

Social network, overlapping-communities detection, line graph

"Overlapping Community Detection for Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.623-626, June-2019, Available :http://www.jetir.org/papers/JETIR1906101.pdf

"Overlapping Community Detection for Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp623-626, June-2019, Available at : http://www.jetir.org/papers/JETIR1906101.pdf