Results 31 to 40 of about 54,974 (279)
PERFORMANCE EVALUATION OF BETWEENNESS CENTRALITY USING CLUSTERING METHODS
Studia Universitatis Babes-Bolyai: Series Informatica, 2020 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
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Frontiers in Environmental Science, 2023 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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Where to look for power Laws in urban road networks?
Applied Network Science, 2018 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
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Absorbing Random Walks Interpolating Between Centrality Measures on Complex Networks
, 2020 Centrality, which quantifies the "importance" of individual nodes, is among the most essential concepts in modern network theory. As there are many ways in which a node can be important, many different centrality measures are in use. Here, we concentrate
Gurfinkel, Aleks J., Rikvold, Per Arne
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Vertex importance extension of betweenness centrality algorithm [PDF]
, 2019 Variety of real-life structures can be simplified by a graph. Such simplification emphasizes the structure represented by vertices connected via edges.
A Clifton +17 more
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An Efficient Approximation of Betweenness Centrality for Uncertain Graphs
IEEE Access, 2019 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
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Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, 2020 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
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Computing Betweenness Centrality in Link Streams
Journal of Graph Algorithms and Applications, 2023 Betweeness centrality is one of the most important concepts in graph analysis. It was recently extended to link streams, a graph generalization where links arrive over time. However, its computation raises non-trivial issues, due in particular to the fact that time is considered as continuous.
Simard, Frédéric +2 more
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What do we learn from correlations of local and global network properties? [PDF]
, 2006 In complex networks a common task is to identify the most important or "central" nodes. There are several definitions, often called centrality measures, which often lead to different results.
Albert +42 more
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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
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