國立虎尾科技大學 |

Network Connectivity = Concepts, Computation, and Optimization /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Network Connectivity/ by Chen Chen, Hanghang Tong.
其他題名:	Concepts, Computation, and Optimization /
作者:	Chen, Chen.
其他作者:	Tong, Hanghang.
面頁冊數:	XIII, 151 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Communications Engineering, Networks. -
電子資源:	https://doi.org/10.1007/978-3-031-03766-5
ISBN:	9783031037665

Network Connectivity = Concepts, Computation, and Optimization /
Chen, Chen.

Network ConnectivityConcepts, Computation, and Optimization /[electronic resource] :by Chen Chen, Hanghang Tong. - 1st ed. 2022. - XIII, 151 p.online resource. - Synthesis Lectures on Learning, Networks, and Algorithms,2690-4314. - Synthesis Lectures on Learning, Networks, and Algorithms,.

Acknowledgments -- Introduction -- Connectivity Measure Concepts -- Connectivity Inference Computation -- Network Connectivity Optimization -- Conclusion and Future Work -- Bibliography -- Authors' Biographies.

Networks naturally appear in many high-impact domains, ranging from social network analysis to disease dissemination studies to infrastructure system design. Within network studies, network connectivity plays an important role in a myriad of applications. The diversity of application areas has spurred numerous connectivity measures, each designed for some specific tasks. Depending on the complexity of connectivity measures, the computational cost of calculating the connectivity score can vary significantly. Moreover, the complexity of the connectivity would predominantly affect the hardness of connectivity optimization, which is a fundamental problem for network connectivity studies. This book presents a thorough study in network connectivity, including its concepts, computation, and optimization. Specifically, a unified connectivity measure model will be introduced to unveil the commonality among existing connectivity measures. For the connectivity computation aspect, the authors introduce the connectivity tracking problems and present several effective connectivity inference frameworks under different network settings. Taking the connectivity optimization perspective, the book analyzes the problem theoretically and introduces an approximation framework to effectively optimize the network connectivity. Lastly, the book discusses the new research frontiers and directions to explore for network connectivity studies. This book is an accessible introduction to the study of connectivity in complex networks. It is essential reading for advanced undergraduates, Ph.D. students, as well as researchers and practitioners who are interested in graph mining, data mining, and machine learning.

ISBN: 9783031037665

Standard No.: 10.1007/978-3-031-03766-5doiSubjects--Topical Terms:

669809
Communications Engineering, Networks.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Network Connectivity = Concepts, Computation, and Optimization /
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