Title :
Computational Social Science for the World Wide Web
Author :
Strohmaier, Markus ; Wagner, Christoph
Author_Institution :
Leibniz Inst. for the Social Sci., Univ. of Koblenz-Landau, Koblenz, Germany
Abstract :
In this article, we want to introduce the field of computational social science to the intelligent systems community and discuss how this field can help to advance the current state of understanding and engineering social-computational systems on the World Wide Web. Overall, this article makes an argument that computational social science offers a unique range of challenges as well as methods and techniques that can help understand and engineer systems on the World Wide Web.
Keywords :
Internet; social sciences computing; World Wide Web; computational social science; intelligent systems community; social-computational system engineering; Algorithm design and analysis; Computational modeling; Sentiment analysis; Social network services; Social sciences; computational social science; emotion contagion; intelligent systems; sentiment analysis; social media; social networks;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2014.80