설명
This research monograph unfolds the intricate world of graph and network analysis through a comprehensive exploration of both theory and practice. With a focus on Python as a powerful tool, it equips readers with the essential skills needed to delve into the mathematical concepts and practical applications that underpin the analysis of complex networks. The authors meticulously guide learners through a variety of methods and techniques, making the content accessible to both novices and experienced practitioners alike.
By integrating real-world examples and hands-on projects, the authors enhance the learning experience, encouraging readers to apply their newfound knowledge in tangible situations. Readers will find themselves not only understanding the principles of graph theory but also mastering the coding skills necessary to perform sophisticated analyses. This engaging approach demystifies challenging concepts and paves the way for the practical implementation of graph and network analysis in a range of disciplines.
By integrating real-world examples and hands-on projects, the authors enhance the learning experience, encouraging readers to apply their newfound knowledge in tangible situations. Readers will find themselves not only understanding the principles of graph theory but also mastering the coding skills necessary to perform sophisticated analyses. This engaging approach demystifies challenging concepts and paves the way for the practical implementation of graph and network analysis in a range of disciplines.
책 세부 정보
형식
하드커버
페이지
216 페이지
언어
영어
출판됨
3월 29, 2017
출판사
Springer
판본
판본 2개
ISBN-10
3319530038
ISBN-13
9783319530031