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Model for Generating Scale-Free Artificial Social networks Using Small-World networks

Computers, Materials & Continua 2022年第12期73卷 6367-6391页

作者： Farhan Amin Gyu Sang Choi Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

The Internet of Things(IoT)has the potential to be applied to social networks due to innovative characteristics and sophisticated solutions that challenge traditional *** network analysis(SNA)is a good example that has recently gained a lot of scientific *** has its roots in social and economic research,as well as the evaluation of network science,such as graph *** in this area have subverted predefined theories,offering revolutionary ones regarding interconnected networks,and they have highlighted the mystery of six degrees of separation with confirmation of the small-world *** motivation of this study is to understand and capture the clustering properties of large networks and social *** present a network growth model in this paper and build a scale-free artificial social network with controllable clustering *** random walk technique is paired with a triangle generating scheme in our proposed *** a result,the clustering controlmechanism and preferential attachment(PA)have been *** research builds on the present random walk *** took numerous measurements for validation,including degree behavior and the measure of clustering decay in terms of node degree,among other ***,we conclude that our suggested random walk model is more efficient and accurate than previous state-of-the-art methods,and hence it could be a viable alternative for societal evolution.

关键词： Social networks small-world networks network generation models graph theory random walk network design social network analysis

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