Preface; Introduction; 1. Network elements; 2. Small worlds; 3. Hubs; 4. Directions and weights; 5. Network models; 6. Communities; 7. Dynamics; Appendix A. Python tutorial; Appendix B. NetLogo models; Bibliography; Index.
A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.
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 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 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 by Menczer, Fortunato, and Davis
is an easy-to-follow introduction into network science. An
accessible text by some of the best-known practitioners of the
field, offering a wonderful place to start one's journey into this
fascinating field, and its potential applications.' Albert-László
Barabási, Dodge Distinguished Professor of Network Science,
Northeastern University
'… this textbook has finally allowed me to teach the ideal intro
courses on network science, of interest to computer scientists as
well as mathematicians, statisticians, economists, sociologists,
and physicists.' Giancarlo Ruffo, Associate Professor of Computer
Science, University of Torino
'The book by Menczer, Fortunato, and Davis, A First Course in
Network Science, is an amazing tour de force in bringing network
science concepts to the layman. It is an extraordinary book with
which to start thinking about networks that nowadays represent the
linchpins of our world.' Alex Arenas, Universidad Rovira i
Virgili
'Buckle up! This book bounds ahead of the curve in teaching network
science. Without formalism, but with remarkable clarity and
insight, the authors use experiential learning to animate concepts,
captivate students, and deliver skills for analyzing and simulating
network data. This book will not only make students smarter, they
will feel and act smarter.' Brian Uzzi, Northwestern University
'If you are looking for a sophisticated yet introductory book on
network analysis from a network science perspective, look no
further. This is an excellent introduction that is also eminently
practical, integrating exactly the right set of tools. I highly
recommend it.' Stephen Borgatti, University of Kentucky
'This is a book that truly takes in hand students from all
backgrounds to discover the power of network science. It guides the
readers through the basic concepts needed to enter the field, while
providing at the same time the necessary programming rudiments and
tools. Rigorous, albeit very accessible, this book is the ideal
starting point for any student fascinated by the emerging field of
network science.' Alessandro Vespignani, Northeastern
University
'We cannot make sense of the world without learning about networks.
This comprehensive and yet accessible text is an essential resource
for all interested in mastering the basics of network science.
Indispensable for undergraduate and graduate education, the book is
also a much-needed primer for researchers across the many
disciplines where networks are on the rise.' Olaf Sporns, Indiana
University
'This is a timely book that comes from authorities in the field of
Complex Networks. The book is very well written and represents the
state of the art of research in the field. For these reasons, it
represents both a reference guide for experts and a great textbook
for the students.' Guido Caldarelli, Scuola IMT Alti Studi
Lucca
'Should be titled the 'Joy of Networks', clearly conveys the fun
and power of the science of networks, while providing extensive
hands-on exercises with network data.' David Lazer, University
Distinguished Professor of Political Science and Computer and
Information Science, Northeastern University
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