Special Issue "Social Networks Analysis and Mining"
Deadline for manuscript submissions: closed (20 April 2021) | Viewed by 13980
Interests: sentiment analysis in social networks; new social network applications; community detections algorithms; point-of-interest recommendation systems; semantic social networks; deep learning in social networks analysis
In recent years, social network technologies have aroused widespread attention in academia and industry. There are a wealth of data mining methods to analyze the rich structural types and related information about social networks. Today, social data can be easily obtained, which makes it easier for us to analyze and study online social networks. This new availability of big data has allowed researchers to investigate the suitability of big data mining and machine learning for the development of intelligent innovations in online social networks. Common applications include graph mining, information diffusion through SN, recommendation systems in SN, point-of-interest recommendation systems, community and hidden community detection in SN, user behavior prediction, deep learning for SNA, social content analysis, natural language processing in social networks, pattern analysis, sentiment analysis, expert finding, and security and privacy in social networks. All these topics could be potential research areas in the field of social networks and mining and are still particularly interesting topics for researchers.
Prof. Dr. Mehrdad Jalali
Manuscript Submission Information
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- Social graph mining
- Recommendation systems in SN
- POI recommender systems
- Natural language processing in SN
- Deep learning in SNA
- Sentiment analysis
- Security and privacy in social networks