Computational Intelligence in Social Big Data Analytics
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 5313
Special Issue Editors
Interests: graph data mining; social networks; trust computing
Special Issues, Collections and Topics in MDPI journals
Interests: spatio-temporal data management; traffic data analysis; graph neural networks
Special Issue Information
Dear Colleagues,
In the big data era, large volumes of social media data are generated in a short period of time, which we refer to as social big data. Social big data has significance in many areas, such as biology, transportation, medical science, physics, etc. Social big data analytics has been widely used in applications such as event detection, expert finding in social graphs, and social-media-based recommender systems. In these applications, due to the large scale of social big graph data, the complex attributes included in big social graphs, and the dynamic changes of big social graph structures, the requirements for computational intelligence in social big data analytics are becoming increasingly demanding. Some of these requirements include effective graph embedding techniques for high-dimension social big graph data; the prediction of social graph structures in dynamic social big data; deep-learning-based trust, security, and privacy management in social big data; as well as intelligent distributed and parallel algorithms for social big data search.
Therefore, it is necessary to develop mechanisms adopting computational intelligence in social big data analytics, helping to build a secure, effective, and efficient environment for big data analytics, further supporting applications based on social big data as a backbone.
This Special Issue on computational intelligence of social big data analytics is intended to bring together some important examples of the successful application of computational intelligence in social big data analytics. The Issue will serve as a reference for all researchers working in the area. This Special Issue solicits high-quality, original research contributions on the application of computational intelligence in social big graph data analytics, and aims to capture the state-of-the-art and stimulate further developments in related areas.
Topic
(1) Computational intelligence in the trust, security, and privacy of social big data.
(2) Computational intelligence in the storage of social big data.
(3) Computational intelligence in the search of social big data.
(4) Computational intelligence in distributed/parallel and real-time processing of social big data.
(5) Computational intelligence in indexing social big data.
(6) Computational intelligence in mining social big data.
(7) Computational intelligence in social big data management platforms/systems.
(8) The evaluation and benchmarking of using Computational Intelligence for social big data management.
(9) Computational intelligence in social big data visualization.
(10) Computational intelligence in social big data-based applications.
Dr. Guanfeng Liu
Dr. Jilin Hu
Prof. Dr. An Liu
Guest Editors
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