| 书目名称 | Network Connectivity | | 副标题 | Concepts, Computatio | | 编辑 | Chen Chen,Hanghang Tong | | 视频video | | | 丛书名称 | Synthesis Lectures on Learning, Networks, and Algorithms | | 图书封面 |  | | 描述 | 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 an | | 出版日期 | Book 2022 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-03766-5 | | isbn_softcover | 978-3-031-03756-6 | | isbn_ebook | 978-3-031-03766-5Series ISSN 2690-4306 Series E-ISSN 2690-4314 | | issn_series | 2690-4306 | | copyright | Springer Nature Switzerland AG 2022 |
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发表于 2025-3-21 19:36:00
