A First Course in Network Science

Filippo Menczer; Santo Fortunato; Clayton A. Davis

doi:10.1017/9781108653947

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Filippo Menczer, Indiana University, Bloomington, Santo Fortunato, Indiana University, Bloomington, Clayton A. Davis, Indiana University, Bloomington

Published 2020

Description

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest -…

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Key features

Specifically designed for introductory-level undergraduate courses in disciplines that use networks, such as business, communications, cognitive science, neuroscience, sociology, biology, and engineering, among others
Utilizes clear language with no technical jargon and extensive use of full color figures to illustrate key concepts
Allows students to immediately start writing Python code to manipulate, visualize, and analyze real-world networks
Includes an abundance of worked examples and homework problems to reinforce students' understanding of the material and an extensive suite of programming tutorials are hosted online to develop practical coding skills

About the book

DOI https://doi.org/10.1017/9781108653947
Subjects Computer Science,Data Science, Databases, Data Mining, and Information Retrieval,Physics and Astronomy,Statistical Physics and Network Science
Format: Hardback
- Publication date: 06 February 2020
- ISBN: 9781108471138
- Dimensions (mm): 246 x 189 mm
- Weight: 0.8kg
- Contains: 131 b/w illus. 131 colour illus.
- Page extent: 300 pages
- Availability: In stock
Format: Digital
- Publication date: 05 February 2020
- ISBN: 9781108653947

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Authors

Filippo Menczer, Indiana University, Bloomington
Filippo Menczer is Professor of Informatics and Computing at Indiana University, Bloomington. He is an ACM Distinguished Scientist and board member of the Indiana University Network Science Institute. He serves in editorial roles for several leading journals including Network Science, EPJ Data Science, and PeerJ: Computer Science. His research focuses on network science, computational social science, and Web science, with a focus on countering social media manipulation. His work on the spread of misinformation has received worldwide news coverage.
Santo Fortunato, Indiana University, Bloomington
Santo Fortunato is Director of the Network Science Institute and Professor of Informatics at Indiana University, Bloomington. His current research is focused on network science, specifically network community detection, computational social science, and the 'science of science'. He received the German Physical Society's Young Scientist Award for Sociophysics and Econophysics in 2011 for his important contributions to the physics of social systems. He is Founding Chair of the International Conference on Computational Social Science (IC2S2).
Clayton A. Davis, Indiana University, Bloomington
Clayton A. Davis is an Informatics Ph.D. candidate at Indiana University, Bloomington and he holds B.S. and M.A. degrees in Mathematics. His research is concerned with the development of big-data platforms for social media analytics, machine learning algorithms for combating online abuse, design of crowdsourcing platforms, and the role of social media in social movements. His work on social bot detection was featured in major news outlets worldwide. His Web tools, including Botometer, Kinsey Reporter, and the Observatory on Social Media, answer millions of queries from thousands of users weekly. He won the 2017 Informatics Associate Instructor Award for his role in the development of high-quality teaching material for network science courses.

A First Course in Network Science

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