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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

Editors:
  1. Sriram Chellappan

    1. University of South Florida, Tampa, USA

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  2. Kim-Kwang Raymond Choo

    1. The University of Texas at San Antonio, San Antonio, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. NhatHai Phan

    1. New Jersey Institute of Technology, Newark, USA

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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. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Combinatorial Optimization and Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. An Adaptive Algorithm for Maximization of Non-submodular Function with a Matroid Constraint

      • Xin Sun, Dachuan Xu, Dongmei Zhang, Yang Zhou
      Pages 3-13

    3. A Fast Class Noise Detector with Multi-factor-based Learning

      • Wanwan Zheng, Mingzhe Jin
      Pages 14-25

    4. Efficient SDN-Based Traffic Monitoring in IoT Networks with Double Deep Q-Network

      • Tri Gia Nguyen, Trung V. Phan, Dinh Thai Hoang, Tu N. Nguyen, Chakchai So-In
      Pages 26-38

    5. Large Scale Graph Analytics for Communities Using Graph Neural Networks

      • Asif Ali Banka, Roohie Naaz
      Pages 39-47

    6. Flexible Interval Intermittent Jamming Against Eavesdropping in WAVE Based Vehicular Networks

      • Hao Li, Xiaoshuang Xing
      Pages 48-58

    7. Graph Neural Network Combined Knowledge Graph for Recommendation System

      • Dong Nguyen Tien, Hai Pham Van
      Pages 59-70

  3. Computational Methods for Social Good Applications

    1. Front Matter

      Pages 71-71
      Download chapter PDF

    2. An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments

      • Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Anho Lee, DaeHun Nyang, David Mohaisen
      Pages 73-86

    3. A Data Conversion Approach Between GAMA and DIGIPLANT Simulating Rice Plant Growth Under Brown Planthopper Infestation

      • Hiep Xuan Huynh, Man Ba Huynh, Hoa Thi Tran, Hai Thanh Nguyen
      Pages 87-99

    4. Network Based Comparison of Indian Railways and Airways

      • Amit Kumar Dhar, Shivam Sharma, Rishi Ranjan Singh
      Pages 100-112

    5. k-TruthScore: Fake News Mitigation in the Presence of Strong User Bias

      • Akrati Saxena, Harsh Saxena, Ralucca Gera
      Pages 113-126

    6. Hierarchies in Inter-personal and Intergroup Communication in Social Media: Case ‘Smart Voting’

      • Alexander A. Kharlamov, Maria Pilgun
      Pages 127-138

    7. Design a Management System for the Influencer Marketing Campaign on Social Network

      • Hien D. Nguyen, Kha V. Nguyen, Suong N. Hoang, Tai Huynh
      Pages 139-151

    8. Group Influence Maximization in Social Networks

      • Yuting Zhong, Longkun Guo
      Pages 152-163

    9. Maximum Channel Access Probability Based on Post-Disaster Ground Terminal Distribution Density

      • Xingxing Hu, Demin Li, Chang Guo, Wei Hu, Lei Zhang, Menglin Zhai
      Pages 164-175

  4. NLP and Affective Computing

    1. Front Matter

      Pages 177-177
      Download chapter PDF

    2. Using Large Cliques for Hierarchical Dense Subgraph Discovery

      • Md Moniruzzaman Monir, Ahmet Erdem Sarıyüce
      Pages 179-192

    3. SqueezeBioBERT: BioBERT Distillation for Healthcare Natural Language Processing

      • Hongbin George Du, Yanke Hu
      Pages 193-201
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  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

Bibliographic Information

  • Book Title: Computational Data and Social Networks

  • Book Subtitle: 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11–13, 2020, Proceedings

  • Editors: Sriram Chellappan, Kim-Kwang Raymond Choo, NhatHai Phan

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-66046-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-66045-1Published: 04 January 2021

  • eBook ISBN: 978-3-030-66046-8Published: 03 January 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXV, 538

  • Number of Illustrations: 88 b/w illustrations, 177 illustrations in colour

  • Topics: Computer Applications, Artificial Intelligence, Systems and Data Security, Computers and Society

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