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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006116

Page Number

848-849

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Title

CLASSIFICATION FOR COMMUNITY STRUCTURE IN SOCIAL MEDIA NETWORKS

ISSN

2349-5162

Cite This Article

"CLASSIFICATION FOR COMMUNITY STRUCTURE IN SOCIAL MEDIA NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.848-849, June-2020, Available :http://www.jetir.org/papers/JETIR2006116.pdf

Abstract

This system presents a novel hybrid method based on both optimization and hybrid hierarchical clustering for community structure in social networks. Because the hybrid hierarchical model usually generates the problem of convergence to a locally optimal detected community, we proposed a new modularity based opinion leader function and we introduced a met heuristic namely genetic algorithm to optimize this introduced quality unction. We introduce a genetic hybrid formulation of hierarchical clustering for community detection in social networks, where hierarchical bottom-up and top-down methods are combined to produce the same community structure. Performances of the proposed approach are evaluated using both real and artificial networks. Experiments show the efficiency of the introduced method in improving the execution time and enhancing the quality of the clustering results.

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"CLASSIFICATION FOR COMMUNITY STRUCTURE IN SOCIAL MEDIA NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp848-849, June-2020, Available at : http://www.jetir.org/papers/JETIR2006116.pdf

Publication Details

Published Paper ID: JETIR2006116
Registration ID: 234135
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 848-849
ISSN Number: 2349-5162

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Cite This Article

"CLASSIFICATION FOR COMMUNITY STRUCTURE IN SOCIAL MEDIA NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp848-849, June-2020, Available at : http://www.jetir.org/papers/JETIR2006116.pdf




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