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 156

Special Issue Editors


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Guest Editor
Department of Computer Engineering in School of Software, College of Engineering, Jeju National University, Jeju 63243, Republic of Korea
Interests: big data computing; intelligent computing & Artificial Intelligence; cloud computing

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Guest Editor
Department of Computer Software and Engineering, Soonchunhyang University, Asan 31538, Republic of Korea
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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • social network
  • big data
  • machine learning
  • deep learning
  • data mining
  • large-scale data

Published Papers

This special issue is now open for submission.
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