Results 41 to 50 of about 55,464 (281)
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
Absorbing Random Walks Interpolating Between Centrality Measures on Complex Networks
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
core +1 more source
Disconnection of network hubs and cognitive impairment after traumatic brain injury. [PDF]
Traumatic brain injury affects brain connectivity by producing traumatic axonal injury. This disrupts the function of large-scale networks that support cognition.
Fagerholm, ED +4 more
core +1 more source
Computing Betweenness Centrality in Link Streams
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
openaire +4 more sources
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
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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KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation [PDF]
We present KADABRA, a new algorithm to approximate betweenness centrality in directed and undirected graphs, which significantly outperforms all previous approaches on real-world complex networks.
Borassi, Michele, Natale, Emanuele
core +3 more sources
TOURISM ON INSTAGRAM: A SOCIAL NETWORK ANALYSIS
This research aims to analyze and describe the development of tourism in Maluku Province, Indonesia on Instagram. The data used in this study are hashtags from several excellent tourist attractions or tourist priorities set by the maluku province tourism
Sylvert Prian Tahalea +2 more
doaj +1 more source
Robustness of Network Measures to Link Errors [PDF]
In various applications involving complex networks, network measures are employed to assess the relative importance of network nodes. However, the robustness of such measures in the presence of link inaccuracies has not been well characterized.
Girvan, Michelle, Ott, Ed, Platig, John
core +1 more source
Betweenness centrality in dense spatial networks
10 pages, 10 ...
Verbavatz, Vincent, Barthelemy, Marc
openaire +3 more sources

