Central Actor Identification of Crime Group using Semantic Social Network Analysis
The Police as law enforcers who authorize in terms of social protection are expected to do both the prevention and investigation efforts also the settlement of criminal cases that occurred in the society.
Sylvert Prian Tahalea, Azhari SN
doaj +1 more source
Assessing the impact of sampling bias on node centralities in synthetic and biological networks
Centrality measures are crucial for network analysis, offering insights into node importance within complex networks. However, their accuracy is often affected by observational errors and incomplete data.
Ali Salehzadeh-Yazdi +1 more
doaj +1 more source
Enhancing Flight Delay Predictions Using Network Centrality Measures
Accurately predicting flight delays remains a significant challenge in the aviation industry due to the complexity and interconnectivity of its operations.
Joseph Ajayi, Yao Xu, Lixin Li, Kai Wang
doaj +1 more source
The Complex Social Internet of Things (CSIoT) integrates the connectivity of IoT with the relational dynamics of complex social networks, creating systems where devices autonomously form and manage relationships.
Wei Deng, Junqi Deng, Peyman Arebi
doaj +1 more source
A proposal for ranking through selective computation of centrality measures. [PDF]
Bertaccini D, Filippo A.
europepmc +1 more source
Revised Centrality Measures Tell a Robust Story of Ion Conduction in Solids. [PDF]
Gomez-Haibach KS, Gomez MA.
europepmc +1 more source
Isolating Coefficient-Based Framework to Recognize Influential Nodes in Complex Networks
Identifying influential nodes within complex networks holds significant importance for enhancing network resilience and understanding vulnerabilities, thereby providing insights for both theoretical exploration and practical applications.
Buran Basha Mohammad +3 more
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Centrality measures of financial system interconnectedness: A multiple crises study. [PDF]
Salim MZ, Ramdhan D, Daly K.
europepmc +1 more source
New centrality measure: ksi-centrality
We introduce new centrality measures, called ksi-centrality and normalized ksi-centrality measure the importance of a node up to the importance of its neighbors. First, we show that normalized ksi-centrality can be rewritten in terms of the Laplacian matrix such that its expression is similar to the local clustering coefficient. After that we introduce
openaire +2 more sources
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication. [PDF]
Kumar T +4 more
europepmc +1 more source

