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Social Network Analysis: Opportunities and Challenges
This special issue belongs to the section “Computing and Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the opportunities and challenges faced in social network analysis. A focus is placed on empirical (data-based) findings that overcome the current challenges in social network analysis, for example, trust and safety within social networks. This includes content-based approaches, such as ML-based policy-violating content detection, ML-based fake news detection and bullying detection, and structural approaches, such as online social network decentralization, ego network models and blockchain-based approaches.
Dr. Kevin Koidl
Dr. Barbara Guidi
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 250 words) can be sent to the Editorial Office for assessment.
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 networks as complex networks
- social network analysis
- computational social science
- trust, privacy, and safety in social networks
- social networks: analysis of applications and new technologies
- fake news and misinformation in social networks and media
- AI and machine learning for social networks
- decentralized solutions for social networks
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