Results 11 to 20 of about 71,434 (279)
Closeness centrality via the Condorcet principle
Social Networks, 2023 We uncover a new relation between Closeness centrality and the Condorcet principle. We define a Condorcet winner in a graph as a node that compared to any other node is closer to more nodes. In other words, if we assume that nodes vote on a closer candidate, a Condorcet winner would win a two-candidate election against any other node in a plurality ...
Oskar Skibski
openaire +4 more sources
Temporal Degree-Degree and Closeness-Closeness: A New Centrality Metrics for Social Network Analysis
Mathematics, 2021 In the area of network analysis, centrality metrics play an important role in defining the “most important” actors in a social network. However, nowadays, most types of networks are dynamic, meaning their topology changes over time.
Mahmoud Elmezain +2 more
doaj +3 more sources
Journal of King Saud University: Computer and Information Sciences, 2018 We analyze a suite of 48 real-world networks and compute the decay centrality (DEC) of the vertices for the complete range of values for the decay parameter δ ∊ (0, 1) as well as determine the Pearson's correlation coefficient (PCC) between the DECδ ...
Natarajan Meghanathan
doaj +3 more sources
Brain and Behavior, 2021 Purpose The purpose of this study was to provide basic information about the analysis of the correlation between online friendship network and internet game disorder among university students. Methods Study subjects were 77 university students.
Sung‐Min Son +2 more
doaj +1 more source
Computing classic closeness centrality, at scale [PDF]
Proceedings of the second ACM conference on Online social networks, 2014 Closeness centrality, first considered by Bavelas (1948), is an importance measure of a node in a network which is based on the distances from the node to all other nodes. The classic definition, proposed by Bavelas (1950), Beauchamp (1965), and Sabidussi (1966), is (the inverse of) the average distance to all other nodes.
Cohen, Edith +3 more
openaire +2 more sources
Distributed Identification of Central Nodes with Less Communication
Applied Network Science, 2023 This paper is concerned with distributed detection of central nodes in complex networks using closeness centrality. Closeness centrality plays an essential role in network analysis.
Jordan F. Masakuna, Pierre K. Kafunda
doaj +1 more source
Applied Sciences, 2022 In this paper, the nonlinear effects of the built environment on bus–metro-transfer ridership are explored, based on Shanghai metro data, with an extreme gradient-boosting decision-trees (XGBoost) model.
Ding Liu +3 more
doaj +1 more source
Frontiers in Public Health, 2022 ObjectiveThe huge loss of health insurance funds has been a topic of concern around the world. This study aims to explore the network of moral hazard activities and the attribution mechanisms that lead to the loss of medical insurance funds.MethodsData ...
Yinghua Qin +8 more
doaj +1 more source
Complexity, 2020 How to improve the safety behaviors of construction workers has dogged the realm of construction project management. Previous studies mainly focused on the individual and/or organizational factors shaping safety behaviors, while there is a dearth of ...
Shuquan Li +4 more
doaj +1 more source
PLoS ONE, 2021 The sustainable development of collection and delivery points and urban street network is an important consideration of logistic planners. Urban street networks have a significant impact on collection and delivery points' location, but the spatial ...
Muhammad Sajid Mehmood +7 more
doaj +1 more source