Results 1 to 10 of about 139 (132)
IEEE Access, 2023 Over the past decade, there has been extensive research conducted on complex networks, primarily driven by their crucial role in understanding the various real-world networks such as social networks, communication networks, transportation networks, and ...
Muralikrishna Enduri +2 more
exaly +3 more sources
IEEE Access, 2023 Identifying vital nodes is important in disease research, spreading rumors, viral marketing, and drug development. The vital nodes in any network are used to spread information as widely as possible.
Muralikrishna Enduri +2 more
exaly +3 more sources
Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking
IEEE AccessIn complex networks, node impact refers to an individual node’s significance or influence within the structure. The evaluation of the impact of the nodes in information transmission, prevention of pandemics, and resilience applications of the ...
Muralikrishna Enduri +2 more
exaly +3 more sources
Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks
IEEE AccessRanking influential nodes within complex networks offers invaluable insights into a wide array of phenomena ranging from disease management to information dissemination and optimal routing in real-time networking applications.
Buran Mohammad +2 more
exaly +3 more sources
Isolating Coefficient-Based Framework to Recognize Influential Nodes in Complex Networks
IEEE AccessIdentifying influential nodes within complex networks holds significant importance for enhancing network resilience and understanding vulnerabilities, thereby providing insights for both theoretical exploration and practical applications.
Buran Mohammad +2 more
exaly +3 more sources
PLoS ONENodes that play strategic roles in networks are called critical or influential nodes. For example, in an epidemic, we can control the infection spread by isolating critical nodes; in marketing, we can use certain nodes as the initial spreaders aiming to ...
Luis E C Rocha, Rooholah Abedian
exaly +2 more sources
From Super-Participants to Super-Echoed. Participation in the 2018 Italian Electoral Twittersphere
Partecipazione e Conflitto, 2018 Who and how takes part in a typical Twitter discussion about political elections? In what degree? In our study we try to shed some light on these questions by examining the case of Italian 2018 national election.
Roberta Bracciale +2 more
doaj +3 more sources
COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data
Journal of Medical Internet Research, 2020 BackgroundSince the beginning of December 2019, the coronavirus disease (COVID-19) has spread rapidly around the world, which has led to increased discussions across online platforms.
Ahmed, Wasim +3 more
doaj +1 more source
Epidemic Modeling and Flattening the Infection Curve in Social Networks [PDF]
مجله مدل سازی در مهندسیThe main goal of this paper is to model the epidemic and flattening the infection curve of the social networks. Flattening the infection curve implies slowing down the spread of the disease and reducing the infection rate via social-distancing, isolation
Mohammadreza Doostmohammadian +5 more
doaj +1 more source
Optimal performance of a self-healing microgrid
IET Smart Grid, 2019 This study proposes a multi-objective binary differential evolution algorithm to reconfigure the system and restore the loads within the stand-alone microgrid.
Sheetal Chandak, Pravat Kumar Rout
doaj +1 more source