Social Network Analysis and Mining

Dear Colleagues,

Social network analysis (SNA) and social network mining have gained significant momentum during the last decade as they have been extensively applied within social media and networks as part of commercial services. Today, social networks have a large base of daily users. Especially after the COVID-19 pandemic, we have witnessed that people tend to use social networks to enhance their social life and increase interaction with the community, while it became apparent that widespread capabilities of disinformation propagation through social media is something that attracts the interest of policy makers as a problem to be counter-measured.

Social network analysis is harnessing knowledge within organisations, which reveals relationships between people within communities and organizations, and can form the basis of utilizing the collective intelligence in communities and organizations.

Given this growing importance and interest in SNA, we have decided to dedicate a Special Issue on this very interesting and multidisciplinary research topic.

Topics of Interest: We invite contributions on theory and practice, including but not limited to the following areas:

• Disinformation through social networks and media
• Trusted and reliable social networks
• Open Data and Social Network analysis
• SNA: Modeling, prediction, simulation, and evaluation
• Social network mining and data storage
• Social networks for health care
• Information and knowledge management
• Artificial intelligence and social network analysis
• Distributed ledger technologies, blockchains, and social networks

Prof. Dr. Theodora Varvarigou
Dr. Antonios Litke
Guest Editors

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