Results 31 to 40 of about 153,321 (300)
Identifying Influential Nodes of Complex Networks Based on Trust-Value
Algorithms, 2020 The real world contains many kinds of complex network. Using influence nodes in complex networks can promote or inhibit the spread of information. Identifying influential nodes has become a hot topic around the world. Most of the existing algorithms used
Jinfang Sheng +4 more
doaj +1 more source
Identifying the Top-
IEEE Access, 2022 Identifying the influential and spreader nodes in complex networks solves many types of complex scientific problems. In social networks, identifying the influential individuals can be useful for structuring techniques that accelerate or hinder ...
Kamal Taha
doaj +1 more source
Ranking influential nodes in networks from aggregate local information
Physical Review Research, 2023 Many complex systems exhibit a natural hierarchy in which elements can be ranked according to a notion of “influence”. While the complete and accurate knowledge of the interactions between constituents is ordinarily required for the computation of nodes'
Silvia Bartolucci +3 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2019 Recently, social networks have shown huge potential in terms of collaborative web services and the study of peer influence as a result of the massive amount of data, datasets, and interrelations generated.
Heba M. Wagih +2 more
doaj +1 more source
Local-Forest Method for Superspreaders Identification in Online Social Networks
Entropy, 2022 Identifying the most influential spreaders in online social networks plays a prominent role in affecting information dissemination and public opinions. Researchers propose many effective identification methods, such as k-shell. However, these methods are
Yajing Hao +5 more
doaj +1 more source
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis [PDF]
, 2018 Interpretability has emerged as a crucial aspect of machine learning, aimed at providing insights into the working of complex neural networks. However, existing solutions vary vastly based on the nature of the interpretability task, with each use case ...
Anirudh, Rushil +3 more
core +2 more sources
A Re-Ranking Algorithm for Identifying Influential Nodes in Complex Networks
IEEE Access, 2020 Influential nodes in complex networks play more significant role than other nodes in many applications such as viral marketing. Identification of the most influential nodes and ranking them based on their spreading ability is a hot topic in the field of ...
Enyu Yu +4 more
doaj +1 more source
Rich-club connectivity dominates assortativity and transitivity of complex networks [PDF]
, 2010 Rich-club, assortativity and clustering coefficients are frequently-used measures to estimate topological properties of complex networks. Here we find that the connectivity among a very small portion of the richest nodes can dominate the assortativity ...
Jie Zhang +3 more
core +2 more sources
The complex network reliability and influential nodes [PDF]
AIP Conference Proceedings, 2017 In order to study the complex network node important degree and reliability, considering semi-local centrality, betweenness centrality and PageRank algorithm, through the simulation method to gradually remove nodes and recalculate the importance in the random network, small world network and scale-free network.
Kai Li, Yongfeng He
openaire +1 more source
RANKING NODES IN COMPLEX NETWORKS: A CASE STUDY OF THE GAUBUS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Connecting points of interest through a well-planned, inter-connected network provides manifold benefits to commuters and service providers. In the South African context, traffic congestion has become of great concern.
T. Moyo, W. Musakwa
doaj +1 more source