Modularity-Driven Matrix Factorization for Community Detection:  A Sparse Symmetric Approach

Ms. Sirisha Peddinti ,Dr. S. Venkata  Achuta Rao

Modularity-Driven Matrix Factorization for Community Detection: A Sparse Symmetric Approach

Authors

Ms. Sirisha Peddinti ,Dr. S. Venkata Achuta Rao

Keywords:

Sparse matrices, Community detec- tion, Social networks, Modularity, Spectral clus- tering, Graph theory.

Abstract

Detecting meaningful structures in massivesocial networks is a computational challenge due to theimmense scale of data and the heterogeneity of con- nection patterns. Facebook’s 4 billion

References

V. D. Blondel, J. L. Guillaume, R. Lambiotte, and E. Lefebvre, “Fast unfolding of communities in large networks,” J. Stat. Mech., vol. 2008, no. 10, P10008, 2008.

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Published

2025-04-25

How to Cite

Ms. Sirisha Peddinti ,Dr. S. Venkata Achuta Rao. (2025). Modularity-Driven Matrix Factorization for Community Detection: A Sparse Symmetric Approach. Journal of Computational Analysis and Applications (JoCAAA), 34(4), 1372–1377. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4730