Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas / Nejlevnější knihy
Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas

Kód: 25047611

Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas

Autor Ted Carmichael, Zining Yang

This book contains a selection of the latest research into the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2018 annual conference of the CSSSA. This conference was held in Santa Fe, ... celý popis

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Anotace knihy

This book contains a selection of the latest research into the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2018 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 25 - 28, 2018, at the Drury Plaza Hotel. The CSS investigates social and behavioral dynamics in both nature and society, through social simulation, social network analysis, and social media analysis. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of computational social science in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings. What follows is a diverse representation of new approaches and research findings, using the tools of CSS and Agent-Based Modeling (ABM) in exploring complex phenomena across many different domains. As such, readers will not only have the methods and results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. This book, we hope, will appeal to any researchers and students working in the social sciences, broadly defined, who aim to better understand and apply the concepts of Complex Adaptive Systems to their work.

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