Der Sammelband Computational Social Science in the Age of Big Data beschäftigt sich mit Konzepten, Methoden, Tools und Anwendungen (automatisierter) datengetriebener Forschung mit sozialwissenschaftlichem Hintergrund. Der Fokus des Bandes liegt auf der Etablierung der Computational Social Science (CSS) als aufkommendes Forschungs- und Anwendungsfeld. Es werden Beiträge international namhafter Autoren präsentiert, die forschungs- und praxisrelevante Themen dieses Bereiches besprechen. Die Herausgeber forcieren dabei einen interdisziplinären Zugang zum Feld, der sowohl Online-Forschern aus der Wissenschaft wie auch aus der angewandten Marktforschung einen Einstieg bietet.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.

At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.

Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.

We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.

Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.

Yes, you can access Computational Social Science in the Age of Big Data by Martin Welker, Cathleen M. Stützer, Marc Egger in PDF and/or ePUB format, as well as other popular books in Business & Business Communication. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Herbert von Halem Verlag

Year

2018

ISBN

9783869622682

Edition

Topic

Business

Subtopic

Business Communication

Index

Business

Buchtitel
Impressum
Inhalt
Cathleen M. Stuetzer / Martin Welker / Marc Egger
Big Data Analytics: Obstacles and Opportunities for Social Science
I. Epistemological Perspectives
Brenda L. Berkelaar / Luis Francisco-Revilla
Motivation, Evidence, and Computation: A Research Framework for Expanding Computational Social Science Participation and Design
Biagio Aragona
Beyond Data Driven Social Science: Researching Big Data Assemblages
Jan R. Riebling
The Medium Data Problem in Social Science
II. Data, Methods, and Instruments
Jakob Jünger
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
Online Behavior Tracking in Social Sciences: Quality Criteria and Technical Implementation
Elisabeth Günther / Damian Trilling / Bob van de Velde
But How Do We Store It? (Big) Data Architecture in the Social-Scientific Research Process
Fionn Murtagh
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
On the Persistence of Strongly Embedded Ties
Yannis Skarpelos
Big Visual Data in Social Sciences
III. Case Studies
Ji-Ping Lin
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
The Use of Big Data in Studying Migration Routes: New Tools and Applications
Theoni Stathopoulou / Haris Papageorgiou / Konstantina Papanikolaou / Athanasia Kolovou
Exploring the Dynamics of Protest with Automated Computational Tools. A Greek Case Study
Jérémy Ducros / Elisa Grandi / Pierre-Cyrille Hautcoeur / Raphaël Hekimian / Emmanuel Prunaux / Angelo Riva / Stefano Ungaro
Collecting and Storing Historical Financial Data: DFIH Project
Daniel Richter / Michael Bartl
Affective Computing Applied to a Recipe Recommendation System
IV. Tutorial Section
Rianne Conijn / Wouter Nij Bijvank / Chris Snijders / Ad Kleingeld / Uwe Matzat
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
Geospatial Analysis of Social Media Data – A Practical Framework and Applications Using Twitter
Authors