This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9783869622675.

Codice articolo 9425944

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Dati bibliografici

Titolo

Computational Social Science in the Age of Big Data: Concepts, Methodologies, Tools, and Applications

Editore

Herbert Von Halem Verlag

Data di pubblicazione

2018

Lingua

Inglese

ISBN 10

3869622679

ISBN 13

9783869622675

Rilegatura

Brossura

Condizione

Good

Peso

650 grammi

Cataloghi dei venditori

Computing

Descrizione articolo

Riassunto

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 emerging field of research and application. International reputable authors represents the state-of-the-art in the field of CSS and covering 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.

Informazioni sull?autore

Dr. Cathleen M. Stuetzer (M. Sc., Dipl.Ing. FH) ist seit 2017 Habilitandin am Zentrum f�r Qualit�tsanalyse der TU Dresden und seit 2015 wissenschaftliche Mitarbeiterin am Institut f�r Soziologie der Johannes Gutenberg-Universit�t Mainz. Promoviert wurde sie 2013 im Bereich der (datengest�tzten) Hochschul- und Bildungsforschung an der TU Dresden (in Koop. mit der HS Mittweida University of Applied Sciences). In ihrer Promotionszeit verbrachte sie u. a. einen Forschungsaufenthalt an der Carnegie Mellon University (Pittsburgh) bei Kathleen M. Carley am Center for Computational Analysis of Social and Organizational Systems (CASOS). Seit 2015 ist sie Teil des Vorstandes der Deutschen Gesellschaft f�r Online-Forschung e.V. (DGOF) und Programme Chair der General Online Research (GOR)Konferenz. Ihre Forschungsschwerpunkte liegen im Bereich der Computational Social Science, Visual Analytics, Netzwerkforschung, Kommunikationsforschung, Academic Analytics und Learning Analytics. Ihr aktuelles Forschungsinteresse bezieht sich auf den Einfluss und die Wirkung von Beziehungen in digitalen Welten. Martin Welker, Prof. Dr. habil., hat an der Universit�t Mannheim Politikwissenschaft, Anglistik, Philosophie und Volkswirtschaftslehre studiert. Nach dem Studium Journalist, u.a. f�r die Deutsche Presse Agentur. 2001 Promotion an der Universit�t Mannheim. Ab 2008 Professor in M�nchen, Leipzig und Braunschweig. Seit Sommersemester 2015 Professor f�r Journalismus und Kommunikation an der HMKW, der Hochschule f�r Medien, Kommunikation und Wirtschaft in K�ln. Publikationen zu Partizipation, Digitalisierung und Online-Methoden. Dr. Marc Egger studierte und promovierte an der Universit�t zu K�ln im Bereich Wirtschaftsinformatik und Informationsmanagement. Er arbeitete als CTO bei der GalaxyAdvisors AG, einem Spin-Off des Massachusetts Institute of Technology (MIT) und ist gesch�ftsf�hrender Gesellschafter von Insius, einer Firma die sich mit der Entwicklung von Softwarel�sungen zur automatisierten Extraktion von Verbrauchermeinungen aus nutzergenerierten Inhalten im Internet befasst. Seine Forschungsinteressen gelten insbesondere dem maschinellen Lernen, der Informationsextraktion, Text Mining und Natural Language Processing sowie der Social Network Analysis.

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