Results 31 to 40 of about 139,675 (284)
Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain. [PDF]
Functional magnetic resonance data acquired in a task-absent condition ("resting state") require new data analysis techniques that do not depend on an activation model. In this work, we introduce an alternative assumption- and parameter-free method based
Gabriele Lohmann +9 more
doaj +1 more source
Accelerating GPU betweenness centrality [PDF]
Graphs that model social networks, numerical simulations, and the structure of the Internet are enormous and cannot be manually inspected. A popular metric used to analyze these networks is Betweenness Centrality (BC), which has applications in community detection, power grid contingency analysis, and the study of the human brain.
Adam McLaughlin, David A. Bader
openaire +4 more sources
PERFORMANCE EVALUATION OF BETWEENNESS CENTRALITY USING CLUSTERING METHODS
Betweenness centrality measure is used as a general measure of centrality, which can be applied in many scientific fields like social networks, biological networks, telecommunication networks or even in any area that can be well modelled using complex ...
Bence SZABARI, Attila KISS
doaj +1 more source
Where to look for power Laws in urban road networks?
Spatial embeddedness and planarity of urban road networks limit the range of their node degree values. Therefore, pursuing analysis based on the distribution of node degrees e.g. scale free aspect could not be accomplished in urban road networks. We have
Meisam Akbarzadeh +2 more
doaj +1 more source
Centrality Learning: Auralization and Route Fitting
Developing a tailor-made centrality measure for a given task requires domain- and network-analysis expertise, as well as time and effort. Thus, automatically learning arbitrary centrality measures for providing ground-truth node scores is an important ...
Xin Li, Liav Bachar, Rami Puzis
doaj +1 more source
Study of betweenness centrality and experimental evaluation of the SILVAN algorithm on complex networks [PDF]
openLa betweenness centrality (BC) è una metrica che misura la centralitá dei nodi in una rete, ovvero quanto sono importanti o centrali per i cammini minimi di un grafo.
PENZO, ALBERTO
core
An Efficient Approximation of Betweenness Centrality for Uncertain Graphs
Betweenness centrality measures the centrality of nodes and edges in a graph based on the concept of shortest paths. However, such a definition is unsuitable for uncertain graphs due to the uncertainty of links. In the possible-world semantics, the Monte
Chenxu Wang, Ziyuan Lin
doaj +1 more source
Reducing agricultural carbon emissions is an important aspect of achieving China’s carbon peak and neutrality goals. Different agricultural centrality result in different agriculture status and role in different regions, affecting agricultural carbon ...
Huanhuan He, Rijia Ding
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Box plot graph represents measures of Betweenness centrality measure distribution across networks in CTRL and COC populations. (TIF)
Milan Petrović (14833251) +3 more
core +1 more source
Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College
Campus competition in Central Java creates superior and empowered human resources to make XYZ campus optimize the Knowledge Sharing process. In optimizing the Knowledge Sharing process on the XYZ campus through interaction and communication between ...
Nurrokhman Nurrokhman +2 more
doaj +1 more source

