Computational Social Science in the Age of Big Data

Concepts, Methodologies, Tools, and Applications
1. Auflage 2018
ISBN: 978-3-86962-267-5
Verlag: Herbert von Halem Verlag

Buch, Englisch, Band 15, 460 Seiten, GEKL, Format (B × H): 1420 mm x 2130 mm, Gewicht: 571 g

Reihe: Neue Schriften zur Online-Forschung

The book Computational Social Science in the Age of Big Data highlights concepts, methodologies, tools, and applications of (automated) data-driven research in social science. The book focuses on the establishment of Computational Social Science (CSS) as an emerging field of research and application. International reputable authors represent the state-of-the-art in the field of CSS and cover several different aspects which are relevant for research and practice. The editors of the book accelerate the multidisciplinary access to the field of computational (social) science to facilitate a readable introduction for online researchers from academia and business.

Autoren/Hrsg.

Stützer, Cathleen M.

Welker, Martin

Egger, Marc

Stützer, Cathleen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Wissenschaftliches Arbeiten, Studientechnik
• Sozialwissenschaften Pädagogik Berufliche Bildung Wissenschaftliches Arbeiten, Studientechnik

Inhaltsverzeichnis

Preface

Cathleen M. Stuetzer / Martin Welker / Marc Egger 9
Big Data Analytics: Obstacles and Opportunities for Social Science

I. Epistemological Perspectives

Brenda L. Berkelaar / Luis Francisco-Revilla 16
Motivation, Evidence, and Computation:
A Research Framework for Expanding Computational Social Science Participation and Design

Biagio Aragona 63
Beyond Data Driven Social Science: Researching Big Data Assemblages

Jan R. Riebling 77
The Medium Data Problem in Social Science

II. Data, Methods, and Instruments

Jakob Jünger 104
Mapping the Field of Automated Data Collection on the Web:

Collection Approaches, Data Types, and Research Logic

Mareike Wieland / Anne-Marie In der Au / Christine Keller / Sören Brunk / Thomas Bettermann / Lutz M. Hagen /
Thomas Schlegel 131
Online Behavior Tracking in Social Sciences: Quality Criteria and Technical Implementation

Elisabeth Günther / Damian Trilling / Bob van de Velde 161
But How Do We Store It? (Big) Data Architecture in the Social-Scientific Research Process

Fionn Murtagh 188
The Geometric Data Analysis and Correspondence Analysis Platform:
New Potential and New Challenges, Including Ethics, of Big Data Analytics

Ulrik Brandes / Michael Hamann / Mark Ortmann / Dorothea Wagner 213
On the Persistence of Strongly Embedded Ties

Yannis Skarpelos 235
Big Visual Data in Social Sciences

III. Case Studies
Ji-Ping Lin 268
Human Relationships and Kinship Analytics from Big Data Based on Data Science: A Study on Ethnic Marriage
and Identity Using Taiwan’s Indigenous Peoples as an Example

Alessandro Cimbelli / Cinzia Conti / Fiorenza Deriu 303
The Use of Big Data in Studying Migration Routes: New Tools and Applications

Theoni Stathopoulou / Haris Papageorgiou / Konstantina Papanikolaou / Athanasia Kolovou 326
Exploring the Dynamics of Protest with Automated Computational Tools. A Greek Case Study

Jérémy Ducros / Elisa Grandi / Pierre-Cy rille Hautcoeur / Raphaël Hekimian / Emmanuel Prunaux / Angelo Riva /
Stefano Ungaro 355
Collecting and Storing Historical Financial Data: DFIH Project

Daniel Richter / Michael Bartl 378
Affective Computing Applied to a Recipe Recommendation System

IV. Tutorial Section
Rianne Conijn / Wouter Nij Bijvank / Chris Snijders / Ad Kleingeld / Uw e Matzat 396
From Raw to Ready-made Data.
A Hands-on Manual for Pre-processing Learning Management System Log Data for Learning Analytics

Yannick Rieder / Simon Kühne 423
Geospatial Analysis of Social Media Data – A Practical Framework and Applications Using Twitter

Authors 447