Temporal Node Centrality in Complex Networks

Kostakos [7] independently pre- sented the concept of temporal graphs to compute the shortest path length between nodes in a network over time. Tang et al. [8] ...

Temporal node centrality in complex networks

Many networks are dynamic in that their topology changes rapidly---on the same time scale as the communications of interest between network ...

Temporal node centrality in complex networks - NASA/ADS

Many networks are dynamic in that their topology changes rapidly—on the same time scale as the communications of interest between network nodes.

Temporal node centrality in complex networks. - Semantic Scholar

A simple but powerful model, the time-ordered graph, is presented, which reduces a dynamic network to a static network with directed flows, which enables it ...

Temporal node centrality in complex networks

[5] proposed temporal centrality metrics based on temporal paths in order to measure the importance of a node in a dynamic network. They ...

juancamilog/temporal_centrality - GitHub

An implementation of the temporal graph statistics from the paper "Temporal Node Centrality in Complex Networks" by Hyoungshick Kim and Ross Anderson ...

Temporal node centrality in complex networks | Request PDF

Request PDF | Temporal node centrality in complex networks | Many networks are dynamic in that their topology changes rapidly--on the same ...

Temporal Walk Centrality: Ranking Nodes in Evolving Networks - arXiv

Information systems → Social networks; • Theory of com- putation → Graph algorithms analysis. KEYWORDS. Temporal Network, Centrality, Node ...

A new measure of node centrality on schedule-based space-time ...

Node centrality is one of the most frequently revisited network theoretical concepts, which got many calculation method alternatives, ...

Identifying important nodes for temporal networks based on the ...

The importance of nodes in the temporal network is evaluated by calculating the eigenvector centrality of the nodes in each time layer in the temporal network.

Introduction - README

It has been developed to calculate temporal centrality values for nodes of dynamic networks represented as a sequence of static graphs.

Dynamic-Sensitive centrality of nodes in temporal networks - Nature

According to the empirical results on three real-world temporal networks and a theoretical temporal network for susceptible-infected-recovered ( ...

Identifying critical nodes in temporal networks by network embedding

Critical nodes in temporal networks play more significant role than other nodes on the structure and function of networks.

TIME CENTRALITY IN DYNAMIC COMPLEX NETWORKS

For some TVG scenarios, however, more important than identifying the central nodes under a given node centrality definition is identifying the key time instants ...

Temporal Variation of the Node Centrality Metrics for Scale-Free ...

... networks are a type of complex networks in which the degree distribution of the nodes is according to the power law. In this chapter, the author.

Temporal Network Centrality (TNC) Measures

Temporal node centrality in complex networks. Physical Review E, 85 (2). Hanke, Moritz and Foraita, Ronja (2017). Clone temporal centrality ...

Ranking the key nodes with temporal degree deviation centrality on ...

This enables us to extend network properties vertex degree centrality metrics in a very natural way to the temporal case. We then demonstrate how our centrality ...

A New Centrality Metrics for Social Network Analysis - MDPI

Furthermore, two measures—Temporal Degree-Degree and Temporal Closeness-Closeness—are employed to better understand the significance of nodes in ...

Temporal Neighborhood Change Centrality for Important Node ...

Therefore, we propose a new method for identifying important nodes in temporal networks, namely the temporal neighborhood change centrality(TNCC) ...

Identifying node importance based on evidence theory in complex ...

To address this issue, in this paper, we propose a multi-indices node centrality in undirected and unweighted networks based on D–S theory. The indicators of DC ...