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The prioritization was based on network centrality measures and these proteins found at the centre of gravity of the proteome network.
We employ a ranking strategy based on network centrality that uses documented HIV receptors, human protein interaction data and protein functions.
Based on network centrality, the relevance of individual genes differs within each network.
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We further put forward new community detection based on network or degree centrality.
Some researches are based on network topology and centrality measures [9].
In terms of network structure, we built a biography network [27] in which we estimated PageRank, a measure of node centrality based on network connectivity [20, 21].
To study the relative importance and associations among different factors, we constructed causal maps and used centrality measures based on network analysis to identify the dominant discourse.
Using predicted orthologs, we compared networks across the three plant species based on network properties (e.g. betweenness centrality), network motifs (e.g. feed-forward loops), conservation of gene-gene co-expression links and conservation of network neighbourhoods.
The experimental results show that the integration of network topology and gene expression increased the predictability of essential proteins in comparison with those centrality measures only based on network topological features.
With the integration of network topology and gene expression, the same group of researchers proposes a new method called PeC [ 23]which increases the predictability of essential proteins in comparison with those centrality measures only based on network topological features.
In graph theory, centrality provides a means of ranking nodes based on network structure.
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