Recent Research on Big Data Mining for Social Networks
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 1447
Special Issue Editors
Interests: AI; big data analysis; cloud
Special Issues, Collections and Topics in MDPI journals
Interests: big data computing; intelligent computing & Artificial Intelligence; cloud computing
Interests: social network analysis; data mining; big data; distribute system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A social network is a digital platform for creating and maintaining relationships between individuals or businesses, allowing users to share information and interact with each other. These platforms take many forms and have many purposes, and they typically offer features such as user profiles, friend connections, content sharing, group participation, and message sending. The platforms for these social networks have hundreds of millions of active users worldwide, and the development of social media has significantly changed the paradigm of communication and information sharing. In particular, the analysis of big data generated by social networks is very important and is becoming more valuable through machine learning, deep learning, etc. This Special Issue aims to provide an overview of the latest technologies and trends in the ever-changing world of social networks and big data processing.
The main topics include, but are not limited to:
- Analyzing graph data to identify patterns and connections in networks;
- Real-time analytics and decision making using big data mining techniques;
- Social influence and opinion analysis;
- Text and sentiment analysis using large amounts of text data;
- Privacy and security with large-scale data collection and analysis;
- Applications of machine learning and deep learning;
- Fake news and information reliability;
- Extended reality experiences utilizing social media, AR, and VR;
- Applied technologies related to social networks and big data.
Dr. Jisu Park
Prof. Dr. Joon-Min Gil
Prof. Dr. Doo-Soon Park
Guest Editors
Manuscript Submission Information
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Keywords
- social network
- big data
- machine learning
- deep learning
- data mining
- large-scale data
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