Proceedings Of The 2021 Conference Of The Computational Social Science Society Of The Americas

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Proceedings of the 2021 Conference of The Computational Social Science Society of the Americas

Author : Zining Yang
Publisher : Springer Nature
ISBN 13 : 3030961885
Total Pages : 200 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Proceedings of the 2021 Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2021 Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by Springer Nature. This book was released on 2022-03-28 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2021 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.

Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas

Author : Zining Yang
Publisher : Springer Nature
ISBN 13 : 303137553X
Total Pages : 240 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by Springer Nature. This book was released on 2023-10-10 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the latest research in the field of computational social science (CSS) methods, uses, and results, as presented at the 2022 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.

Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas

Author : Zining Yang
Publisher : Springer Nature
ISBN 13 : 3030834182
Total Pages : 282 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by Springer Nature. This book was released on 2022-01-04 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 2020 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results. The above-mentioned conference was held virtually, October 8 – 11, 2020. What follows is a diverse representation of new results and approaches to using the tools of CSS and agent-based modeling (ABM) in exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects upon which to build, along with a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities, they will also gain a greater appreciation for the broad scope of CSS.

Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas

Author : Zining Yang
Publisher : Springer Nature
ISBN 13 : 3030775178
Total Pages : 403 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by Springer Nature. This book was released on 2021-10-02 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the 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. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS 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.

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

Author : Ted Carmichael
Publisher : Springer Nature
ISBN 13 : 3030359026
Total Pages : 292 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas by : Ted Carmichael

Download or read book Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas written by Ted Carmichael and published by Springer Nature. This book was released on 2020-05-27 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the latest research in 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. CSS investigates social and behavioral dynamics in both nature and society, through computer simulation, network analysis, and the science of complex systems. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS 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. 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.

Advances in Swarm Intelligence

Author : Ying Tan
Publisher : Springer Nature
ISBN 13 : 3031366255
Total Pages : 553 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances in Swarm Intelligence by : Ying Tan

Download or read book Advances in Swarm Intelligence written by Ying Tan and published by Springer Nature. This book was released on 2023-07-07 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”. The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the second part cover topics such as: Swarm Robotics and UAV; Machine Learning; Data Mining; Routing and Scheduling Problems; Stock Prediction and Portfolio Optimization; ICSI-Optimization Competition.

Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas

Author : Zining Yang
Publisher :
ISBN 13 : 9783030775186
Total Pages : 0 pages
Book Rating : 4.7/5 (751 download)

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Book Synopsis Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 - 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the 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. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS 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.

Systems, Decision and Control in Energy V

Author : Artur Zaporozhets
Publisher : Springer Nature
ISBN 13 : 303135088X
Total Pages : 813 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Systems, Decision and Control in Energy V by : Artur Zaporozhets

Download or read book Systems, Decision and Control in Energy V written by Artur Zaporozhets and published by Springer Nature. This book was released on 2023-08-08 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book consists of 8 parts: Energy Informatics, Electric Power Engineering, Heat Power Engineering, Nuclear Power Engineering, Renewable Power Engineering, Fuels, Transport, and Environmental Safety. The results presented in this book are aimed at solving some of the technical issues proposed by the Ukraine Recovery Plan and other important scientific and applied problems in the field of energy. Scientists from leading Ukrainian academic institutions and universities are working on this book. This book is for scientists, researchers, engineers, as well as lecturers and postgraduates of higher education institutions dealing with energy sector, power systems, ecological safety, etc.

Digital Disinformation

Author : Peter Chew
Publisher : Springer Nature
ISBN 13 : 3031288351
Total Pages : 470 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Digital Disinformation by : Peter Chew

Download or read book Digital Disinformation written by Peter Chew and published by Springer Nature. This book was released on 2023-05-18 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uniquely combines the authors’ personal experiences, deep cultural and professional experience of living and working in Russia and the former USSR, and interest and experience with language and computational analysis, to shed light on a highly contemporary question: what is motivating conflict and unrest in Russia and its surrounding countries? How does Russian government suppression of information manifest in practice today, and how does it fit into the historical cultural pattern for Russia? The authors take a computational look at social and traditional media in the original languages, from Russia, Ukraine, Lithuania, Latvia, Estonia, Poland, and the English-speaking world, to glean insights and separate fact from fiction. This book helps readers interested in Eastern Europe to ‘take the temperature’ of the region today, but it is also of interest to readers in the policy and analysis community, because it offers a template, an analytical ‘how-to’ guide which aims to follow in the footsteps of CIA author Richards Heuer’s ‘Psychology of Intelligence Analysis’, to show how state-of-the-art computational analysis techniques could be applied to similar problems in other topic areas, with the human analyst and computational techniques each working together to create a whole greater than the sum of its parts.

Computational Social Science

Author : Dan Dobrota
Publisher : Taylor & Francis
ISBN 13 : 1000628590
Total Pages : 282 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Computational Social Science by : Dan Dobrota

Download or read book Computational Social Science written by Dan Dobrota and published by Taylor & Francis. This book was released on 2022-07-01 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings publish selected papers from the 2nd International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; the other is on the use of computational techniques. Finally, some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.

Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence

Author : Rawat, Romil
Publisher : IGI Global
ISBN 13 : 1668439441
Total Pages : 300 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence by : Rawat, Romil

Download or read book Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence written by Rawat, Romil and published by IGI Global. This book was released on 2022-05-13 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.

Handbook of Computational Social Science for Policy

Author : Eleonora Bertoni
Publisher : Springer Nature
ISBN 13 : 3031166248
Total Pages : 497 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Handbook of Computational Social Science for Policy by : Eleonora Bertoni

Download or read book Handbook of Computational Social Science for Policy written by Eleonora Bertoni and published by Springer Nature. This book was released on 2023-01-23 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.

Advances in Social Simulation

Author : Flaminio Squazzoni
Publisher : Springer Nature
ISBN 13 : 3031349202
Total Pages : 595 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances in Social Simulation by : Flaminio Squazzoni

Download or read book Advances in Social Simulation written by Flaminio Squazzoni and published by Springer Nature. This book was released on 2023-11-01 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent developments in the field of computer simulation and its application to social dynamics and behaviour. It covers latest advancements in the use of agent-based modelling by focusing on thematic issues, methodological progress and applications, including policy, industry and business. It aims to promote this interdisciplinary type of research by showing synergies, complementary and integration especially between computer sciences, social sciences, economics and organization, often bridging qualitative and quantitative research. The primary audience of this book are academics, practitioners and professionals using computer simulation for business counselling or industry.

Text as Data

Author : Justin Grimmer
Publisher : Princeton University Press
ISBN 13 : 0691207550
Total Pages : 360 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Text as Data by : Justin Grimmer

Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry

Routledge Encyclopedia of Technology and the Humanities

Author : Chan Sin-wai
Publisher : Taylor & Francis
ISBN 13 : 1040005829
Total Pages : 389 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Routledge Encyclopedia of Technology and the Humanities by : Chan Sin-wai

Download or read book Routledge Encyclopedia of Technology and the Humanities written by Chan Sin-wai and published by Taylor & Francis. This book was released on 2024-04-29 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Routledge Encyclopedia of Technology and the Humanities is a pioneer attempt to introduce a wide range of disciplines in the emerging field of techno-humanities to the English-reading world. This book covers topics such as archaeology, cultural heritage, design, fashion, linguistics, music, philosophy, and translation. It has 20 chapters, contributed by 26 local and international scholars. Each chapter has its own theme and addresses issues of significant interest in the respective disciplines. References are provided at the end of each chapter for further exploration into the literature of the relevant areas. To facilitate an easy reading of the information presented in this volume, chapters have been arranged according to the alphabetical order of the topics covered. This Encyclopedia will appeal to researchers and professionals in the field of technology and the humanities, and can be used by undergraduate and graduate students studying the humanities.

Research Handbook on Digital Sociology

Author : Jan Skopek
Publisher : Edward Elgar Publishing
ISBN 13 : 1789906768
Total Pages : 493 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Research Handbook on Digital Sociology by : Jan Skopek

Download or read book Research Handbook on Digital Sociology written by Jan Skopek and published by Edward Elgar Publishing. This book was released on 2023-03-02 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring the social implications of digital transformation, as well as demonstrating how we might use digital transformation to further sociological knowledge, this incisive Handbook provides an extensive overview of cutting-edge research on the digital turn of modern society. This title contains one or more Open Access chapters.

Learning to Quantify

Author : Andrea Esuli
Publisher : Springer Nature
ISBN 13 : 3031204670
Total Pages : 145 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Learning to Quantify by : Andrea Esuli

Download or read book Learning to Quantify written by Andrea Esuli and published by Springer Nature. This book was released on 2023-04-17 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (“biased”) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (“macro”) data rather than on individual (“micro”) data.