<p>(a) and (b) Temporal networks generated by the dataset of 'SG-Infectious' (c) and (d) Temporal networks generated by the dataset of 'Fudan WIFI'. Although big nodes (node with larger aggregated degree) tend to own larger controlling centralities, there exist many nodes with larger (smaller) aggregated degree but smaller (larger) controlling centrality, such as circled points in (a), (b) and (d).</p
<p><b>Notes:</b> Network nodes showing the strongest between group effects (permutation test; α = 0....
<p>For each measure of centrality sets of folds with high and low centralities are identified as des...
Abstract—Estimating influential nodes in large scale networks including but not limited to social ne...
<p>(a) HT09 (b) SG-Infectious (c) FudanWIFI. All the temporal networks are the same as those in Fig....
(a) shows the result for different subgraph sizes given the number of subgraphs m = 10; (b) shows th...
Temporal networks are such networks where nodes and interactions may appear and disappear at various...
The roles of different nodes within a network are often understood through centrality analysis, whic...
Temporal networks are such networks where nodes and interactions may appear and disappear at various...
Complex networks represent an extensive variety of systems in nature and human interactions. Network...
The roles of different nodes within a network are often understood through centrality analysis, whic...
Complex networks (systems) as a phenomenon can be observed by a wide range of networks in nature and...
<p>The figure shows two examples where a node with degree 3 may be part of a sparsely-connected star...
Living systems are associated with Social networks — networks made up of nodes, some of which may be...
In the area of network analysis, centrality metrics play an important role in defining the “most imp...
DC: degree centrality; BC: betweenness centrality; CC: closeness centrality. Key nodes: either with ...
<p><b>Notes:</b> Network nodes showing the strongest between group effects (permutation test; α = 0....
<p>For each measure of centrality sets of folds with high and low centralities are identified as des...
Abstract—Estimating influential nodes in large scale networks including but not limited to social ne...
<p>(a) HT09 (b) SG-Infectious (c) FudanWIFI. All the temporal networks are the same as those in Fig....
(a) shows the result for different subgraph sizes given the number of subgraphs m = 10; (b) shows th...
Temporal networks are such networks where nodes and interactions may appear and disappear at various...
The roles of different nodes within a network are often understood through centrality analysis, whic...
Temporal networks are such networks where nodes and interactions may appear and disappear at various...
Complex networks represent an extensive variety of systems in nature and human interactions. Network...
The roles of different nodes within a network are often understood through centrality analysis, whic...
Complex networks (systems) as a phenomenon can be observed by a wide range of networks in nature and...
<p>The figure shows two examples where a node with degree 3 may be part of a sparsely-connected star...
Living systems are associated with Social networks — networks made up of nodes, some of which may be...
In the area of network analysis, centrality metrics play an important role in defining the “most imp...
DC: degree centrality; BC: betweenness centrality; CC: closeness centrality. Key nodes: either with ...
<p><b>Notes:</b> Network nodes showing the strongest between group effects (permutation test; α = 0....
<p>For each measure of centrality sets of folds with high and low centralities are identified as des...
Abstract—Estimating influential nodes in large scale networks including but not limited to social ne...