Social, Cultural, and Behavioral Modeling

9th International Conference, SBP-BRiMS 2016, Washington, DC, USA, June 28 - July 1, 2016, Proceedings

  • Kevin S. Xu
  • David Reitter
  • Dongwon Lee
  • Nathaniel Osgood
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9708)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Behavioral and Social Sciences

    1. Front Matter
      Pages 1-1
    2. Yi-Chieh Lee, Chi-Hsien Yen, Wai-Tat Fu
      Pages 3-12
    3. Partha Mukherjee, Bernard J. Jansen
      Pages 13-22
    4. Christopher Thron, Rachel McCoy
      Pages 23-32
    5. Abdullah Almaatouq, Laura Radaelli, Alex Pentland, Erez Shmueli
      Pages 33-41
    6. John B. Nelson, William G. Kennedy, Frank Krueger
      Pages 42-50
    7. Isha Ghosh, Vivek K. Singh
      Pages 51-60
    8. Nuo Yong, Shunjiang Ni, Shifei Shen
      Pages 61-70
    9. Lu Zhang, Yongkai Wu, Xintao Wu
      Pages 83-93
  3. Health Sciences

    1. Front Matter
      Pages 95-95
    2. Christopher R. Williams, Armin R. Mikler
      Pages 107-116
    3. Hua Wang, Mary E. Northridge, Carol Kunzel, Qiuyi Zhang, Susan S. Kum, Jessica L. Gilbert et al.
      Pages 117-130
  4. Information, Systems, and Network Sciences

    1. Front Matter
      Pages 131-131
    2. Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju
      Pages 142-151
    3. Mengdi Wang, Yu-Ru Lin
      Pages 162-173

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 9th International Conference on Social, Cultural, and Behavioral Modeling & Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2016, held in Washington, DC, USA, in June/July 2016.

The 38 full papers presented were carefully reviewed and selected from 78 submissions. The goal of this conference was to build a new community of social cyber scholars by bringing together and fostering interaction between members of the scientific, corporate, government and military communities interested in understanding, forecasting and impacting human socio-cultural behavior. For this three challenges have to be met: deep understanding, socio-cognitive reasoning, and re-usable computational technology. Thus papers come from a wide number of disciplines: computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science.

Keywords

behavioral modeling computational social science decision making modeling and simulation social computing behaviour representation behavioral health crowdsourcing cultural modeling health policy intelligent agents machine learning military and intelligence multiple agent interaction network dynamics sociall bots social media social networks threat network detection

Editors and affiliations

  • Kevin S. Xu
    • 1
  • David Reitter
    • 2
  • Dongwon Lee
    • 3
  • Nathaniel Osgood
    • 4
  1. 1.University of ToledoToledoUSA
  2. 2.Penn State UniversityUniversity ParkUSA
  3. 3.Penn State UniversityUniversity ParkUSA
  4. 4.University of SaskatchewanSaskatoonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-39931-7
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-39930-0
  • Online ISBN 978-3-319-39931-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349