Connectivity in Complex Networks: Measures, Inference and Optimization
|Abstract||Networks naturally appear in many high-impact applications. The simplest model of networks is single-layered networks, where the nodes are from the same domain and the links are of the same type. However, as the world is highly coupled, nodes from different application domains tend to be interdependent on each other, forming a more complex network model called multi-layered networks.
Among the various aspects of network studies, network connectivity plays an important role in a myriad of applications. The diversified application areas have spurred numerous connectivity measures, each designed for some specific tasks. Although effective in their own fields, none of the connectivity measures is generally applicable to all the tasks. Moreo... (more)
|Contributor||Chen, Chen (Author) / Tong, Hanghang (Advisor) / Davulcu, Hasan (Committee member) / Sen, Arunabha (Committee member) / Subrahmanian, V.S. (Committee member) / Ying, Lei (Committee member) / Arizona State University (Publisher)|
|Note||Doctoral Dissertation Computer Science 2019|
|Collaborating Institutions||Graduate College / ASU Library|
|Additional Formats||MODS / OAI Dublin Core / RIS|