A first course in network science / Filippo Menczer, Indiana University, Bloomington, Santo Fortunato, Indiana University, Bloomington, Clayton A. Davis, Indiana University, Bloomington.
By: Menczer, Filippo [author.].
Contributor(s): Fortunato, Santo [author.] | Davis, Clayton A [author.].
Publisher: Cambridge, United Kingdom ; New York, NY : Cambridge University press, 2020Copyright date: �2020Description: 258 p: illustrations (black and white, and colour) ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 1108471137; 9781108471138.Subject(s): Information networks | System analysisGenre/Form: Print books.Summary: 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 - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | T57.85 .M46 2020 (Browse shelf) | Available | AU00000000016687 |
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| T57.74 .S547 2015 Linear and integer optimization : theory and practice / | T57.83 .S65 2011 Dynamic programming : foundations and principles / | T57.85 .C36 2016 Data science and complex networks : real cases studies with Python / | T57.85 .M46 2020 A first course in network science / | T57.9 .G38 2012 Analysis of queues : methods and applications / | T57.95 .F73 2009 Decision behaviour, analysis and support / | T57.95 .T938 2014 Fuzzy multiple objective decision making / |
Includes bibliographical references and index.
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 - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.
9/20 biolb alk .o3308583.