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In both networks, the most central organization based on degree centrality is the Government Service for Land and Water Management (Cdr1), a national governmental organization established for coordination, collaboration, and implementation of spatial planning, i.e., a bridging organization (Berkes 2009).
However the clusters defined based on degree centrality measuring the interconnectedness between network nodes does not prove as sufficient for the entire cluster.
Based on degree centrality measurement, as can be seen in Fig. 4, the network was very centralized and linked to Satkorlak West Java with its normalized degree centrality 6.702.
We have discovered that personal contacts, i.e. immediate neighbors (based on degree centrality) and neighborhood (k-neighbors) of a person have a positive effect on a person's nomination as an administrator and also contribute to the active participation of voters in voting.
Also, based on degree centrality and eigenvector centrality the important genes in the networks were determined and their functions were analyzed.
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We also introduce 'k-clique sub-community' overlapping community detection based on degree and weighted micro-community centrality.
We also discussed and introduced algorithm for k-clique sub-community and optimal partition of k-clique sub-community for weighted modularity optimization and overlapping community detection based on degree and weighted micro-community centrality.
Koschutzki et al. [13] discusses centrality indices based on degree considering distances and neighborhoods as well as shortest paths.
For this purpose, we use three reference models that take into account the degree distribution of the PPI network: (i) reference model based on degree distribution of known disease gene products, (ii) reference model based on the degree of candidate gene products, and (iii) likelihood ratio test using eigenvector centrality as the reference model.
BFS assumes calculation based on the degree centrality; however, we considered whether the search demands might change if calculated with closeness or betweenness centrality.
Results show that selecting genes based on their centrality degree in the drug or diseases specific network outperforms other centrality measures.
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