Computational Social Science of Social Cohesion and Polarization
暫譯: 社會凝聚力與極化的計算社會科學
Keijzer, Marijn A., Lorenz, Jan, Bojanowski, Michal
- 出版商: Springer
- 出版日期: 2026-02-08
- 售價: $2,670
- 貴賓價: 9.5 折 $2,536
- 語言: 英文
- 頁數: 281
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032013720
- ISBN-13: 9783032013729
-
相關分類:
Natural Language Processing
海外代購書籍(需單獨結帳)
相關主題
商品描述
This is an open access book. What holds societies together--and what drives them apart? As worry over political polarization and social cohesion intensifies across the globe, this volume explores timely and vital questions of social cohesion and polarization through the lens of Computational Social Science. It brings together leading and junior scholars who harness the power of computational methods to analyze, model, and understand discourse, social relationships, and beliefs. Drawing on tools such as agent-based modeling, social network analysis, and natural language processing, the book offers a range of innovative approaches to study how belief systems form, attitudes polarize, and communities fragment.
Aimed at researchers, students, and practitioners across disciplines, this volume is both an introduction to the field and a showcase of its most promising applications. It is an introduction into CSS of social cohesion and polarization, and an invitation to rethink how we study--and perhaps even how we can repair--the social fabric.
商品描述(中文翻譯)
這是一本開放存取的書籍。什麼使社會團結在一起——又是什麼使它們分裂？隨著全球對政治極化和社會凝聚力的擔憂加劇，本書通過計算社會科學的視角探討了社會凝聚力和極化的及時且重要的問題。它匯集了領先和初級學者，利用計算方法的力量來分析、建模和理解話語、社會關係和信念。本書借助代理基建模、社會網絡分析和自然語言處理等工具，提供了一系列創新的方法來研究信念系統的形成、態度的極化以及社區的分裂。
本書旨在面向各學科的研究人員、學生和實踐者，既是該領域的入門書籍，也是其最具前景應用的展示。它是社會凝聚力和極化的計算社會科學入門，並邀請我們重新思考如何研究——甚至如何修復——社會結構。
作者簡介
Marijn Keijzer is a research fellow at the Institute for Advanced Study in Toulouse and the Toulouse School of Economics. His research focuses on opinion dynamics and polarization, using a diverse set of methodologies from computational social science such as agent-based modeling, analysis of digital trace data and online (macro-)experiments. Marijn holds a PhD in Sociology (2022, ICS / University of Groningen).
Jan Lorenz is an assistant professor of social data science at Constructor University Bremen and faculty member at the Bremen International Graduate School of Social Sciences. He holds a Ph.D. in mathematics (2007, University Bremen) and a habilitation in computational social science at Constructr University. His research topics are models of opinion dynamics, social segregation, and other complex socio-economic systems. He did empirical research on the wisdom of crowds, measuring social cohesion, and polarization.
Michal Bojanowski is an assistant professor at the Chair of Quantitative Methods and Information Technology at Kozminski University and a post-doctoral researcher at the COALESCE Lab at the Autonomous University of Barcelona. He holds a PhD in sociology (2012, ICS / Utrecht University) and his research focuses on modeling social network data, especially collected with non-sociocentric designs as well as on assembling complex social network datasets from non-obvious sources (such as historical archives) often using technically-advanced procedures. Michal is an R developer with over 20 years of experience in writing packages and providing training in academic and business contexts. He is a member of Statnet Development Team -- the creators of a suite of R packages for statistical network analysis.
作者簡介(中文翻譯)
Marijn Keijzer 是圖盧茲高等研究所及圖盧茲經濟學院的研究員。他的研究專注於意見動態和極化，使用計算社會科學中的多種方法論，如基於代理的建模、數位痕跡數據分析和線上（宏觀）實驗。Marijn 擁有社會學博士學位（2022年，格羅寧根大學 / ICS）。
Jan Lorenz 是不來梅建設大學社會數據科學的助理教授，並且是不來梅國際社會科學研究生院的教職成員。他擁有數學博士學位（2007年，不來梅大學）以及在建設大學的計算社會科學的資格認證。他的研究主題包括意見動態模型、社會隔離及其他複雜的社會經濟系統。他進行了關於群眾智慧的實證研究，測量社會凝聚力和極化。
Michal Bojanowski 是科茲敏斯基大學定量方法與資訊技術系的助理教授，並且是巴薩隆納自治大學 COALESCE 實驗室的博士後研究員。他擁有社會學博士學位（2012年，烏特勒支大學 / ICS），其研究專注於社交網絡數據建模，特別是使用非社會中心設計收集的數據，以及從不明顯來源（如歷史檔案）組裝複雜的社交網絡數據集，通常使用技術先進的程序。Michal 是一名 R 語言開發者，擁有超過 20 年的經驗，專注於編寫套件並在學術和商業環境中提供培訓。他是 Statnet 開發團隊的成員，該團隊創建了一套用於統計網絡分析的 R 套件。
