Despite the huge importance that the centrality metrics have in understanding the topology
of a network, too little is known about the effects that small alterations in the topology of the …

Neighbor connectivity has been a crucial metric in assessing espionage networks'
subversion and measuring network disruption caused by failures through neighbor sets. For …

Previous key node identification approaches assume that the transmission of information on
a path always ends positively, which is not necessarily true. In this paper, we propose a new …

Abstract Social Network Analysis is the use of Network and Graph Theory to study social
phenomena, which was found to be highly relevant in areas like Criminology. This chapter …

In the rail transit industry, the communication network is also widely used in various
professions. Rail transit stations have the characteristics of narrow space, high degree of …

Fake news and misinformation spread in online social networks in a manner similar to
contagious diseases. One possibility to thwart the contagion cascade is to selectively …

Graph robustness upon node failures state-of-art is huge. However, not enough is known on
the effects of centrality metrics ranking after graph perturbations. To fill this gap, our aim is to …

Space-air-ground integrated networks (SAGINs), which integrate the satellite network, aerial
network and terrestrial network, have been widely envisioned as a promising network …

星地一体化网络中引入软件定义网络(software defined networkꎬSDN) 可以解决网络管理,
信息交互等问题ꎮ 由于网络结构异构, 网络拓扑动态ꎬ 链路时变, 节点容量有限等特点ꎬ …

Social Network Analysis is the use of Network and Graph Theory to study social
phenomena, which was found to be highly relevant in areas like Criminology. This chapter …