Results 241 to 250 of about 71,434 (279)

Dynamics of carbon balance and its influencing factors in the Yangtze River Delta: a spatial network perspective. [PDF]

Carbon Balance Manag
Yi'na H, Menglu C, Qian L, Yijing W, Niuniu L, Dongyu W.   +5 more
europepmc   +1 more source

Understanding the interplay between urban segregation and accessibility to services with network analysis. [PDF]

PLoS One
Lai M, Sapienza A, Vilella S, Canonico M, Cena F, Ruffo G.   +5 more
europepmc   +1 more source

Digital Sleep Disruption: Unraveling the Network Structure of Technology Use and Sleep Problems Through Network Analysis. [PDF]

CNS Neurosci Ther
Gan H, Xu L, Tong C.
europepmc   +1 more source

The relationship between childhood trauma, personality, and subjective well-being in early and late adolescence: a network analysis. [PDF]

Sci Rep
Zheng W, Zhou L, Lv X, Li J, Zhou Y.
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Understanding Anxiety Symptoms of Mood Disorders Across Bipolar and Major Depressive Disorder Using Network Analysis. [PDF]

Medicina (Kaunas)
Kwon SS, Lee H, Lee J, Jang J, Lee D, Yu H, Kang HS, Ha TH, Park J, Myung W.   +9 more
europepmc   +1 more source

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Closeness Centrality on Uncertain Graphs

ACM Transactions on the Web, 2023
Centrality is a family of metrics for characterizing the importance of a vertex in a graph. Although a large number of centrality metrics have been proposed, a majority of them ignores uncertainty in graph data. In this article, we formulate closeness centrality on uncertain graphs and define the batch closeness centrality evaluation ...
Zhenfang Liu, Jianxiong Ye, Zhaonian Zou
openaire   +3 more sources

Finding Critical Links for Closeness Centrality

INFORMS Journal on Computing, 2019
Closeness centrality is a class of distance-based measures in the network analysis literature to quantify reachability of a given vertex (or a group of vertices) by other network agents. In this paper, we consider a new class of critical edge detection problems, in which given a group of vertices that represent an important subset of network elements ...
Alexander Veremyev, Oleg A. Prokopyev, Eduardo L. Pasiliao   +2 more
openaire   +4 more sources

Disjoint multipath closeness centrality

Computing, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mariana S. M. Barbosa, Dianne S. V. Medeiros, Miguel Elias M. Campista   +2 more
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Extensions of closeness centrality?

Proceedings of the 49th Annual Southeast Regional Conference, 2011
The concept of vertex centrality has long been studied in order to help understand the structure and dynamics of complex networks. It has found wide applicability in practical as well as theoretical areas. Closeness centrality is one of the fundamental approaches to centrality, but one difficulty with using it is that it degenerates for disconnected ...
Rong Yang, Leyla Zhuhadar
openaire   +1 more source

Incremental algorithms for closeness centrality

2013 IEEE International Conference on Big Data, 2013
Centrality metrics have shown to be highly correlated with the importance and loads of the nodes within the network traffic. In this work, we provide fast incremental algorithms for closeness centrality computation. Our algorithms efficiently compute the closeness centrality values upon changes in network topology, i.e., edge insertions and deletions ...
Ahmet Erdem Sariyuce, Kamer Kaya, Erik Saule, Umit V. Catalyurek   +3 more
openaire   +1 more source