Abstract

The research of community detection can help us analyze kinds of problems in social network, in which the research of community structure is very important. This paper proposes an improved algorithm: An Improved BGLL Integrating Mutual Information (BGLLi), which stabilizes modularity, meanwhile fuses the index of mutual information, so that we can find the optimal threshold of modularity and reduce the running time of community partition effectively. The dataset adopts the Twitter dataset and the public Arxiv dataset, and the related experimental results have verified the effectiveness of the algorithm

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.