Practical Social Network Analysis with Python by Ankith Mohan, Srinivasa K.G.
Requirements: .PDF reader, 15 Mb
Overview: Introduces the fundamentals of social network analysis. Discusses key concepts and important analysis techniques. Highlights, with real-world examples, how large networks can be analyzed using deep learning techniques. This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis.
Genre: Non-Fiction > Tech & Devices
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