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Computational Data and Social Networks

9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11–13, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12575)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: CSoNet 2020.

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Table of contents (43 papers)

  1. Combinatorial Optimization and Learning

  2. Computational Methods for Social Good Applications

  3. NLP and Affective Computing

Other volumes

  1. Computational Data and Social Networks

Keywords

About this book

This book constitutes the refereed proceedings of the 9th International Conference on Computational Data and Social Networks, CSoNet 2020, held in Dallas, TX, USA, in December 2020.

The 20 full papers were carefully reviewed and selected from 83 submissions. Additionally the book includes 22 special track papers and 3 extended abstracts. The selected papers are devoted to topics such as Combinatorial Optimization and Learning; Computational Methods for Social Good Applications; NLP and Affective Computing; Privacy and Security; Blockchain; Fact-Checking, Fake News and Malware Detection in Online Social Networks; and Information Spread in Social and Data Networks.

Editors and Affiliations

  • University of South Florida, Tampa, USA

    Sriram Chellappan

  • The University of Texas at San Antonio, San Antonio, USA

    Kim-Kwang Raymond Choo

  • New Jersey Institute of Technology, Newark, USA

    NhatHai Phan

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