Special Issue "Machine Learning in Social Network Analytics"

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Combinatorial Optimization, Graph, and Network Algorithms".

Deadline for manuscript submissions: 15 October 2023 | Viewed by 292

Special Issue Editors

School of Computer Science, University of Technology Sydney, Ultimo, NSW 2007, Australia
Interests: data analytics; social network analysis; and information system theories in education; healthcare and sustainability fields
Department of Information Technology, Delhi Technological University, Delhi 110042, India
Interests: computer vision; machine learning; deep learning; human pose estimation; crowd analysis; fake news detection; sentiment analysis; person re-identification
Department of Network and Computer Security, State University of New York Polytechnic Institute, Utica, NY 13502, USA
Interests: machine learning and computer vision with applications to cybersecurity, biometrics, affect recognition, image and video processing, and perceptual-based audiovisual multimedia quality assessmentperceptual-based audiovisual multimedia quality assessment; cybersecurity
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Special Issue Information

Dear Colleagues,

Social network platforms have become an integral part of our daily lives, providing a means for people to connect, share information, and express their opinions. As a result, the data generated by these platforms have become a valuable resource for businesses, organizations, and researchers to gain insights into consumer behavior, market trends, and public opinion. However, the sheer volume and complexity of these data make it challenging to extract meaningful insights. This Special Issue aims to explore the latest techniques and applications in social media analytics, highlighting existing challenges and opportunities in this field.

This Special Issue aims to cover a wide range of topics related to social network analytics, including, but not limited to:

  • Deep learning and neural networks for social network analytics;
  • Graph-based techniques for social network analysis;
  • Natural language processing for social media text data;
  • Social network analytics for e-commerce and online platforms;
  • Social network analytics for crisis management and emergency responses;
  • Multimodal data fusion and integration for social network analytics;
  • Explainable AI and interpretability in social network analytics;
  • Ethics and privacy issues in social network analytics;
  • Real-time and streaming social network analytics;
  • Explainable AI and interpretability in social network

Dr. Mukesh Prasad
Dr. Faezeh Karimi
Prof. Dr. Dinesh Vishwakarma
Dr. Zahid Akhtar
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. Algorithms is an international peer-reviewed open access monthly 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 1600 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.

Published Papers

This special issue is now open for submission.
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