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centrality measure

A proposed centrality measure: the case of stocks traded at Bursa Malaysia

A proposed centrality measure: the case of stocks traded at Bursa Malaysia

... of centrality measure and the rank of importance for degree centrality, betwenness centrality, closeness centrality, eigenvector centrality and average of weight ...degree ...

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A Centrality Measure for Urban Networks Based on the Eigenvector Centrality Concept.

A Centrality Measure for Urban Networks Based on the Eigenvector Centrality Concept.

... of centrality for urban networks based on the concept of Eigenvector Centrality for urban street networks which incorporates information from both topology and data residing on the ...the centrality ...

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A centrality measure for cycles and subgraphs II

A centrality measure for cycles and subgraphs II

... The centrality c(.) not only induces the eigenvector centrality on vertices, but it is a proper extension of it through an application of the inclusion-exclusion principle on network ...the ...

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An Application of TOPSIS Approach in Determination of Spread Influencers in a Competitive Industrial Space: Evidence from the Banking Network of Ghana

An Application of TOPSIS Approach in Determination of Spread Influencers in a Competitive Industrial Space: Evidence from the Banking Network of Ghana

... the centrality measures [10]. Each central- ity measure proposed or adopted to investigate the importance of nodes in a so- cial network is done from a particular point of view [11] ...Degree ...

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Link transmission centrality in large-scale social networks

Link transmission centrality in large-scale social networks

... link centrality measure, transmission centrality, tailored to identify the role of nodes and links in controlling conta- gion ...transmission centrality measures the average number of nodes ...

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Centrality in modular networks

Centrality in modular networks

... based centrality measures and the standard centrality for the Georgetown ...dard measure performs better than the Local component of the Modular centrality and it performs worse than its ...

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Non-backtracking alternating walks

Non-backtracking alternating walks

... the centrality and bipartivity ...walk-counting centrality measures it is known that related, parameter-free, spectral measures can be recovered by taking an appropriate asymptotic ...

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Automatic Co authorship Network Extraction and Discovery of Central Authors

Automatic Co authorship Network Extraction and Discovery of Central Authors

... Scholarly publications are made available online by individual re- searchers on their home pages. The list of publications reflects the research work carried by individuals collaborating with one or more other ...

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Random Walk Decay Centrality

Random Walk Decay Centrality

... of centrality mea- sures have been developed based on random walks in the ...such centrality measure is PageRank (Page et ...various centrality measures, such as Random Walk Closeness ...

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Discovering Important Nodes in Social Networks Using Entropy Measure

Discovering Important Nodes in Social Networks Using Entropy Measure

... entropy measure to cluster different graphs and accordingly detect ...of centrality measure distributions such as degree centrality, betweenness centrality, closeness centrality ...

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Centralities in simplicial complexes. Applications to protein interaction networks

Centralities in simplicial complexes. Applications to protein interaction networks

... these centrality indices for the analysis of the structure of simplicial complexes emerging from PPI ...the centrality of simplices at one level of the simplicial complex, ...same centrality at ...

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Influence Spreading on Complex Networks Effects of Node Activity and Paths with Loops

Influence Spreading on Complex Networks Effects of Node Activity and Paths with Loops

... Computational scalability of algorithms can be an issue for large networks. Contributions of all the different paths form a source node to target nodes are computed in the algorithm. As the number of potential routes ...

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A Model For Predicting Influential Users In Social
          Network

A Model For Predicting Influential Users In Social Network

... As centrality is used to identify important nodes in a social ...many centrality measures exists, most of those are applicable to static ...Dynamic centrality measure can be done using the ...

7

Towards Recommendation System for Logistics Using Multilevel Network Analysis Approach

Towards Recommendation System for Logistics Using Multilevel Network Analysis Approach

... the centrality of degree, betweenness centrality and ...gree centrality measure varies according to the context that is used for example when used in a social network can represent the friends ...

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Systemic risk assessment in complex supply networks

Systemic risk assessment in complex supply networks

... The measure has been applied in vulnerability assessment in various domains from power-grids, disease networks to supply ...the measure to define the operational functionality of the power grid components, ...

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Thesis

Thesis

... to measure racial/ethnic identity in Blacks, Whites, Latinos, and Native Americans, but this study was among the first to adjust these scales to measure Arab racial/ethnic ...items, centrality, ...

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Using attractiveness model for actors ranking in social media networks

Using attractiveness model for actors ranking in social media networks

... Eigenvector centrality for undirected networks and Pag- eRank for directed networks ...the centrality of each actor based on the centrality of its ...

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PubMedCentral-PMC5643020.pdf

PubMedCentral-PMC5643020.pdf

... many centrality measures as applications [6, 9, 10, 34, 43, 67], and different types of centrality are appropriate for different ...construct centrality measures not only from the direct ...

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Coverage Centrality Maximization in Undirected Networks

Coverage Centrality Maximization in Undirected Networks

... speaking, centrality metrics are positively cor- related with many desirable properties of nodes, therefore, there has been a recent considerable interest on finding strategies to increase the centrality ...

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Structural and functional analytics for community detection in large-scale complex networks

Structural and functional analytics for community detection in large-scale complex networks

... researchers are analyzing worldwide. Of special interest are groups of vertices within which connections are dense. In this paper we begin with discussing community dynamics and exploring complex network structural ...

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