Research Track on Social Network Analysis, Social Media, & Mining (CSCI-RTNA)

All accepted papers of all Research Tracks will be published by Springer Nature (https://www.springernature.com/) in the proceedings of The 2024 International Conference on Computational Science and Computational Intelligence (CSCI'24).
Past conference proceedings can be accessed via IEEE Xplore Digital Library at:

Volume I (2014)
Volume II (2014)
Volume (2015)
Volume (2016)
Volume (2017)
Volume (2018)
Volume (2019)
Volume (2020)
Volume (2021)
Volume (2022)
Volume (2023)
All CSCI Proceedings

Thanks to the contributions of the authors of previously published papers, we are pleased to announce that this year's publication will have significantly increased visibility in the Science Citation Index (SCI).

INDEXATION: Scopus (scopus.com), DBLP, EI Engineering Index (Compendex, Inspec databases), www.engineeringvillage.com, Springer Link (https://link.springer.com/), Google Scholar; Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics' Web of Science; ACM Digital Library; IO-Port; MathSciNet; Zentralblatt MATH, and others.
Scope & Topics
Topics of interest include, but are not limited to the following:

Social Network Design; Social Media Design; Information Retrieval in Social Contexts; Information Retrieval in Political Contexts; Identification and Prevention of Fake News on Networks; Community Discovery and Methods; Social Media in Marketing; Social Network Mining; Graph Based Algorithms; Community Networks and Impact Analysis; Network Structure Analysis; Security and Privacy in Social Networks; Efficient Algorithms for Social Computing; Social Network Behaviors; Reputation and Trust Analysis in Social Media; Social Influence and Impacts; Big Data Analysis on Social Networks; Novel Services on Social Network Platforms; Social Simulation and Computational Models; Anomaly Detection in Social Networks; Application of Social Network Mining; Network Complexity; Dark web, Darknets, and Related Issues; Data Models for Social Media; Novel Social Network Architectures; and Information Fusion.
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ALL RIGHTS RESERVED
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