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Extracting Feelings of People Regarding COVID-19 by Social Network Mining
In 2020, COVID-19 became the chief concern of the world and is still reflected widely in all social networks.
Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach
The proposed approach learns the relevant features of communities through a generative probabilistic model without any prior assumption on the communities.
IEDC: An Integrated Approach for Overlapping and Non-overlapping Community Detection
Community detection is a task of fundamental importance in social network analysis that can be used in a variety of knowledge-based domains.
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