Title:	Knowledge and Networks
Authors:	Johannes Glückler, Emmanuel Lazega
Keywords:	Knowledge and Networks
Issue Date:	2017
Publisher:	Springer
Description:	Computational Social Sciences is explicitly transdisciplinary: quantitative methods from fields such as dynamical systems, artificial intelligence, network theory, agent based modeling, and statistical mechanics are invoked and combined with state-of theart mining and analysis of large data sets to help us understand social agents, their interactions on and offline, and the effect of these interactions at the macro level. Topics include, but are not limited to social networks and media, dynamics of opinions, cultures and conflicts, socio-technical co-evolution and social psychology. Computational Social Sciences will also publish monographs and selected edited contributions from specialized conferences and workshops specifically aimed at communicating new findings to a large transdisciplinary audience. A fundamental goal of the series is to provide a single forum within which commonalities and differences in the workings of this field may be discerned, hence leading to deeper insight and understanding
URI:	http://10.6.20.12:80/handle/123456789/239
ISBN:	978-3-319-45023-0
Appears in Collections:	Social Work

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