Handbook of Computational Social Science
Edward Elgar Publishing Ltd (Verlag)
978-1-80220-729-3 (ISBN)
Covering diverse topics such as social networks, political behavior, human mobility, and collective intelligence, the Handbook highlights the vast potential of CSS to analyze and understand complex social phenomena. It explores a wide range of methodological approaches, from agent-based modeling and big data analytics to experimental designs and machine learning applications.
Designed for students, researchers, and professionals, the Handbook is an invaluable resource for those working and studying in the field of CSS. Its practical insights into the methodologies that have shaped CSS will greatly benefit social science instructors, educators, and industry professionals in social data science and analytics.
Edited by Taha Yasseri, Workday Professor and Chair of Technology and Society, School of Social Sciences and Philosophy, Trinity College Dublin, Ireland. He directs the Center for Sociology of Humans and Machines (SOHAM)
Contents
PART I FOUNDATIONS
1 My personal and our collective journey in computational social science 2
Taha Yasseri
2 Computational social science: past, present, and future 9
Duncan J. Watts and David Lazer
3 How computational social science can help to improve public policymaking 30
Helen Margetts and Cosmina Dorobantu
4 Computational social science, artificial intelligence, and the
future of media theory 40
Ralph Schroeder
5 On the intersection of analytical sociology and computational social science 56
Martin Arvidsson, Peter Hedström, Benjamin F. Jarvis, and Marc Keuschnigg
6 Computational inductive research 72
Laura K. Nelson
PART II METHODS
SECTION 1 NOVEL DATA SOURCES
7 Using data from social media for computational social science research 87
Katrin Weller and Indira Sen
8 Text data and natural language processing 100
Dirk Hovy, Margot Gerondeau, and Jan Globisz
9 Mobile social networks: using Whatsapp data for computational
social science research 116
Kiran Garimella
10 Social media data donation and digital tracking 135
Felicia Loecherbach and Wouter van Atteveldt
11 Open data in computational social science research 150
Luis-Daniel Ibáñez, Johanna Walker, and Elena Simperl
12 An online picture is worth a thousand words 160
Federico Botta
SECTION 2 SOCIAL NETWORK ANALYSIS
13 Temporal networks of social interactions 173
Jari Saramäki and Petter Holme
14 Multilayer social networks 189
Mikko Kivelä
15 Strong friendship paradox in social networks 199
Kristina Lerman
16 Estimating causal effects in experiments with network spillovers 209
Stephanie Zonszein, P. M. Aronow, and Cyrus Samii
SECTION 3 AGENT-BASED MODELING
17 Agent-based models and networks 224
Andreas Flache, Marijn A. Keijzer, and Michael Mäs
18 Exploring theory with agent-based modeling and simulation 236
Jan Lorenz
SECTION 4 TEXT ANALYSIS
19 Learning the social pragmatics of language 259
Luca Maria Aiello
20 Learning with weak supervision for computational social science 269
Diyi Yang and Caleb Ziems
21 Computational text sentiment analysis: methods, applications,
and challenges 293
Mike Thelwall
SECTION 5 EXPERIMENTAL METHODS
22 From online experiments to big experimental data 305
Stefano Balietti
23 Behavioral experiments in computational social science 320
Vincent Buskens, Rense Corten, and Wojtek Przepiorka
24 Natural experiments in computational social science: principles,
methods, and applications 334
David J. Harding
PART III APPLICATIONS
SECTION 1 POLITICS
25 Analyzing political bots on Twitter: an introduction 347
Simon Lindgren
26 Social media and electoral prediction: ten years after 360
Daniel Gayo-Avello, Andreas Jungherr, and Gonzalo Rivero
27 Computational social science approaches to sustainability
and climate change 372
Viktoria Spaiser
28 Opinion dynamics in social networks: from models to data 384
Antonio F. Peralta, János Kertész, and Gerardo Iñiguez
SECTION 2 JUSTICE AND EQUALITY
29 Computational approaches to the study of corruption 408
Isabela Villamil, János Kertész, and Johannes Wachs
30 Social movements in the digital age 424
Adina Gitomer, Alyssa Smith, Hana Chalmers, Larissa Doroshenko,
Robin A. Lange, Alex Madaras, Ryan J. Gallagher, Tamanna Urmi,
and Brooke Foucault Welles
31 Minorities in networks and algorithms 438
Fariba Karimi, Marcos Oliveira, and Markus Strohmaier
32 Computing gender 452
Orsolya Vásárhelyi and Siân Brooke
SECTION 3 COMMUNICATION AND INFORMATION DYNAMICS
33 Social bots: detection and challenges 473
Kai-Cheng Yang, Onur Varol, Alexander C. Nwala, Mohsen
Sayyadiharikandeh, Emilio Ferrara, Alessandro Flammini, and
Filippo Menczer
34 Communication during crisis: examining the dynamics of rumors online 492
Emma S. Spiro
35 Quantifying and modeling language change 507
Eduardo G. Altmann
36 Societal algorithmification and its computational measurement 519
Martin Hilbert
SECTION 4 HEALTH
37 Employing social media to improve mental health outcomes 541
Munmun De Choudhury
38 Modeling the spreading of infectious diseases in the digital age 558
Nicola Perra
39 Computational demography and health 575
Zack W. Almquist, Courtney Allen, and Ihsan Kahveci
SECTION 5 HUMAN, GROUP, AND SOCIAL DYNAMICS
40 An overview of the science of success 592
Xindi Wang, Alexander J. Gates, and Albert-László Barabási
41 Big love: computational approaches to the study of
large-scale patterns in online dating behavior 609
Liesel L. Sharabi, Marco Dehnert, and Callie Graham
42 Universalities in human mobility 625
Sune Lehmann and Laura Alessandretti
43 Quantifying the temporal dynamics of collective memory and
attention in social systems 636
Cristian Candia
44 Measuring and modeling bursty human phenomena 652
Márton Karsai and Hang-Hyun Jo
SECTION 6 ECONOMY AND FINANCE
45 A computational social science approach to urban economies 664
Neave O’Clery and Andres Gomez-Lievano
46 Exploring blockchain networks: decentralization trust,
and social dynamics 681
Raffaele Cristodaro, Carlo Campajola, and Claudio J. Tessone
47 Cooperation: a field experimental approach 696
Delia Baldassarri and Johanna Gereke
SECTION 7 CREATIVITY AND INTELLIGENCE
48 Collaborative creativity as a field within computational social science 711
Balazs Vedres
49 Studying collective intelligence in the lab 726
Abdullah Almaatouq and Joshua Aaron Becker
50 Hybrid intelligence: combining collective and artificial
intelligence for adaptive control 740
Niccolò Pescetelli
51 The statistical relationship between scientific prizes and the dynamics
of careers and topic development 759
Yifang Ma, Ching Jin, and Brian Uzzi
52 Science of science: citation models and research evaluation 780
Vincent A. Traag
53 Computational sociology of humans and machines: conflict
and collaboration 809
Taha Yasseri
SECTION 8 ONLINE COMMUNITIES, KNOWLEDGE, AND EDUCATION
54 Shocks in crowds: networks and online communities 824
Danaja Maldeniya and Daniel M. Romero
55 Unpacking time in online behaviors: a temporal framework
for computational social science 840
Tai-Quan Peng and Jonathan J. H. Zhu
56 Navigating knowledge: patterns and insights from Wikipedia consumption 855
Tiziano Piccardi and Robert West
57 Understanding and improving social factors in education:
a computational social science approach 872
Nabeel Gillani and Rebecca Eynon
58 Interconnectedness in education systems 891
Cristian Candia, Javier Pulgar, and Flávio L. Pinheiro
Index 910
| Erscheinungsdatum | 12.12.2025 |
|---|---|
| Verlagsort | Cheltenham |
| Sprache | englisch |
| Maße | 169 x 244 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Naturwissenschaften | |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 1-80220-729-5 / 1802207295 |
| ISBN-13 | 978-1-80220-729-3 / 9781802207293 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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