描述
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.
书籍详情
格式
精装书
页数
216 页
语言
英语
已发布
3月 29, 2017
出版商
Springer
版本
2 个版本
ISBN-10
3319530038
ISBN-13
9783319530031