Big networks: A survey
A network is a typical expressive form of representing complex systems in terms of vertices
and links, in which the pattern of interactions amongst components of the network is intricate …
and links, in which the pattern of interactions amongst components of the network is intricate …
Influential spreaders identification in complex networks with improved k-shell hybrid method
Identifying influential spreaders in a complex network has practical and theoretical
significance. In applications such as disease spreading, virus infection in computer …
significance. In applications such as disease spreading, virus infection in computer …
Weighted kshell degree neighborhood: A new method for identifying the influential spreaders from a variety of complex network connectivity structures
Due to the fast and worldwide growth of the social network, it has become a potent platform
for broadcasting any information. Through the network, people can easily reach to a mass …
for broadcasting any information. Through the network, people can easily reach to a mass …
[HTML][HTML] Computing influential nodes using the nearest neighborhood trust value and pagerank in complex networks
Computing influential nodes gets a lot of attention from many researchers for information
spreading in complex networks. It has vast applications, such as viral marketing, social …
spreading in complex networks. It has vast applications, such as viral marketing, social …
Distance-aware optimization model for influential nodes identification in social networks with independent cascade diffusion
Influence maximization (IM) is a challenge in social networks, which depends on the
spreader selection. We propose a quadratic programming model to identify a fixed number …
spreader selection. We propose a quadratic programming model to identify a fixed number …
IMPC: Influence maximization based on multi-neighbor potential in community networks
The study of influence maximization (IM) has attracted many scholars in recent years due to
its import practical values. Given a social network, it aims at finding a subset of k individuals …
its import practical values. Given a social network, it aims at finding a subset of k individuals …
An adaptive heuristic clustering algorithm for influence maximization in complex networks
PL Yang, GQ Xu, Q Yu, JW Guo - Chaos: An Interdisciplinary Journal of …, 2020 - pubs.aip.org
Influence maximization research in the real world allows us to better understand, accelerate
spreading processes for innovations and products, and effectively analyze, predict, and …
spreading processes for innovations and products, and effectively analyze, predict, and …
[HTML][HTML] Spatial super-spreaders and super-susceptibles in human movement networks
WCB Chin, R Bouffanais - Scientific reports, 2020 - nature.com
As lockdowns and stay-at-home orders start to be lifted across the globe, governments are
struggling to establish effective and practical guidelines to reopen their economies. In dense …
struggling to establish effective and practical guidelines to reopen their economies. In dense …
SIRQU: Dynamic quarantine defense model for online rumor propagation control
Rumors can spread very rapidly through online social networks (OSNs), leading to huge
negative impact on human society. Hence, there is an urgent need to develop models that …
negative impact on human society. Hence, there is an urgent need to develop models that …
Efficient algorithm for finding the influential nodes using local relative change of average shortest path
In complex networks, finding the influential nodes playing a crucial role in theoretical and
practical point of view because they are capable of propagating information to large portion …
practical point of view because they are capable of propagating information to large portion …