Social Network
Social network analysis investigates the structure and dynamics of interconnected individuals or entities, aiming to understand information diffusion, influence propagation, and collective behavior. Current research focuses on developing sophisticated models, including graph neural networks, Markov decision processes, and large language models, to analyze diverse aspects such as misinformation detection, opinion dynamics, and recommendation systems. These advancements have significant implications for various fields, improving our understanding of social phenomena and enabling the development of more effective tools for combating online harms and enhancing user experience on social media platforms.
Papers
Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis
Brianna M White, Chad A Melton, Parya Zareie, Robert L Davis, Robert A Bednarczyk, Arash Shaban-Nejad
Decentralized core-periphery structure in social networks accelerates cultural innovation in agent-based model
Jesse Milzman, Cody Moser
The Ties that matter: From the perspective of Similarity Measure in Online Social Networks
Soumita Das, Anupam Biswas
DCC: A Cascade based Approach to Detect Communities in Social Networks
Soumita Das, Anupam Biswas, Akrati Saxena
Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks
Soumita Das, Bijita Singha, Alberto Tonda, Anupam Biswas