Talk details
This page provides basic information about talks given by Prof. Dr. Markus Strohmaier.
Title and Abstract
Title: Inequalities in Social Networks
Abstract: Homophily can put minorities in social networks at a disadvantage by restricting their ability to establish links with people from a majority group. This can limit the overall visibility of minorities in the network, and create biases. In this talk, I will show how the visibility of minority groups in social networks is a function of (i) their relative group size and (ii) the presence or absence of homophilic behavior. In addition, the results show that perception biases can emerge in social networks with high homophily or high heterophily and unequal group sizes, and that these effects are highly related to the asymmetric nature of homophily in networks. This work presents a foundation for assessing the visibility of minority groups and corresponding perception biases in social networks in which homophilic or heterophilic behaviour is present. Overall, the talk will motivate and exemplify new research endeveaors on the intersection between computational and social sciences.
Papers
Eun Lee, Fariba Karimi, Claudia Wagner, Hang-Hyun Jo, Markus Strohmaier and Mirta Galesic. Homophily and minority size explain perception biases in social networks (preprint), accepted for Nature Human Behavior.
Fariba Karimi, Mathieu Génois, Claudia Wagner, Philipp Singer and Markus Strohmaier. Homophily influences ranking of minorities in social networks, Scientific Reports, Volume 8, Article nr: 11077 (2018)
C. Wagner, P. Singer, F. Karimi, J. Pfeffer, and M. Strohmaier. Sampling from social networks with attributes, In 26th International World Wide Web Conference (WWW2017), Perth, Australia, April 3 - April 7, ACM, 2017.
Short Bio
Markus Strohmaier is the Professor for Methods and Theories of Computational Social Sciences and Humanities at RWTH Aachen University (Germany), and the Scientific Coordinator for Digital Behavioral Data at GESIS - Leibniz Institute for the Social Sciences. Previously, he was a Post-Doc at the University of Toronto (Canada), an Assistant Professor at Graz University of Technology (Austria), a visiting scientist at (XEROX) Parc (USA), a Visiting Assistant Professor at Stanford University (USA) and the founder and scientific director of the department for Computational Social Science at GESIS (Germany). He is interested in applying and developing computational techniques to research challenges on the intersection between computer science and the social sciences / humanities.
