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Identifying Influential Communities Using IID for a Multilayer Networks

C. Suganthini*, R. Baskaran

Department of Computer Science and Engineering College of Engineering, Guindy, Anna University, Chennai, Tamilnadu, India

* Corresponding Author: C. Suganthini. Email: email

Intelligent Automation & Soft Computing 2023, 36(2), 1715-1731.


In online social networks (OSN), they generate several specific user activities daily, corresponding to the billions of data points shared. However, although users exhibit significant interest in social media, they are uninterested in the content, discussions, or opinions available on certain sites. Therefore, this study aims to identify influential communities and understand user behavior across networks in the information diffusion process. Social media platforms, such as Facebook and Twitter, extract data to analyze the information diffusion process, based on which they cascade information among the individuals in the network. Therefore, this study proposes an influential information diffusion model that identifies influential communities across these two social media sites. Moreover, it addresses site migration by visualizing a set of overlapping communities using hyper-edge detection. Thus, the overlapping community structure is used to identify similar communities with identical user interests. Furthermore, the community structure helps in determining the node activation and user influence from the information cascade model. Finally, the Fraction of Intra/Inter-Layer (FIL) diffusion score is used to evaluate the efficiency of the influential information diffusion model by analyzing the trending influential communities in a multilayer network. However, from the experimental result, it observes that the FIL diffusion score for the proposed method achieves better results in terms of accuracy, precision, recall and efficiency of community detection than the existing methods.


Cite This Article

APA Style
Suganthini, C., Baskaran, R. (2023). Identifying influential communities using IID for a multilayer networks. Intelligent Automation & Soft Computing, 36(2), 1715-1731.
Vancouver Style
Suganthini C, Baskaran R. Identifying influential communities using IID for a multilayer networks. Intell Automat Soft Comput . 2023;36(2):1715-1731
IEEE Style
C. Suganthini and R. Baskaran, "Identifying Influential Communities Using IID for a Multilayer Networks," Intell. Automat. Soft Comput. , vol. 36, no. 2, pp. 1715-1731. 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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