[PDF] Top 20 A Centrality Measure for Urban Networks Based on the Eigenvector Centrality Concept.
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A Centrality Measure for Urban Networks Based on the Eigenvector Centrality Concept.
... the urban infrastructure of a city by using a centrality ...new measure of centrality for these types of augmented urban networks, which is based on the concept of ... See full document
16
Non-backtracking walk centrality for directed networks
... a centrality measure that eliminates backtracking walks at no ...the centrality measures may be reduced in the same ...new centrality measure may be interpreted as standard Katz on a ... See full document
24
Centrality and shortest path length measures for the functional analysis of urban drainage networks
... events. Based on available information, 8 subnetworks from the sewer system of the city of Dresden, Germany, are ...of urban subcatchments, the results obtained in this study are expected to be repre- ... See full document
14
Where to look for power Laws in urban road networks?
... the centrality of network ...Katz centrality (Katz 1953), information index (Stephenson and Zelen 1989), betweenness centrality (Bavelas 1948), subgraph centrality (Estrada and ... See full document
11
Building-network: Concept, generation method and centrality analysis
... as networks have been widely examined in the fields of GIS and network ...road networks can be formed with the network analysis (Zhang and Li, ...the centrality measures, the road network can be also ... See full document
8
Mediation centrality in adversarial policy networks
... this concept to mediators by extending perspective taking to a process-based account of ...mediation centrality, a metric for quantifying the mediation value of individuals in adversarial policy ... See full document
17
An Energy Based Centrality for Electrical Networks
... applied centrality measures to complex networks in order to study network ...Various centrality measures have been ...of networks and the vulnerability to certain types of failures, and are ... See full document
6
Centrality in modular networks
... Betweenness centrality is more efficient than the other ...In networks with a well-defined com- munity structure ...the Eigenvector- based centralities are just below, followed by the ... See full document
27
Network analysis of MERS coronavirus within households, communities, and hospitals to identify most centralized and super-spreading in the Arabian Peninsula, 2012 to 2016
... connectivity networks of people infected with highly contagious Middle East respiratory syndrome coronavirus (MERS-CoV) in Saudi Arabia were assessed to identify super-spreading events among the infected patients ... See full document
10
Systemic risk assessment in complex supply networks
... level. Based on this gap, we will draw from the field of Social Network Analysis (SNA), which is a sub field in complex networks rich with statistical tools specifically, centrality metrics, that ... See full document
12
Confidence Intervals for Assessing Sizes of Social Network Centralities
... and eigenvector centralities are flat, whereas degree and closeness ...of networks, numbers of highly between actors, ...the eigenvector centralities appear flat, but this too is sensible in that the ... See full document
23
Bridging Centrality: Identifying Bridging Nodes in Transportation Network
... many centrality measures, designed to capture different aspects of the centrality concept in the study of social ...betweenness[2] centrality as the total fraction of shortest paths between ... See full document
5
Structural and functional analytics for community detection in large-scale complex networks
... complex networks, i.e. networks whose structure is irregular, complex and dynami- cally evolving in time, with the main focus moving from the analysis of small networks to that of systems with ... See full document
28
Influence spreading model used to analyse social networks and detect sub-communities
... complex networks has been presented in ...financial networks literature, a decaying influence model describing propagation of shocks on banking networks has been stud- ied in ... See full document
39
Network analysis of the NetHealth data: exploring co-evolution of individuals’ social network positions and physical activities
... Betweenness centrality; CESD: Center for epidemiological studies depression scale; CLUSC: Clustering coefficient; CLOSEC: Closeness centrality; CoU: Users that are compliant in terms of both SMS and Fitbit ... See full document
26
Full Text ()
... Degree centrality is the simplest centrality ...it. Based on this measure, HON has the highest number of edges with other stocks with score of ... See full document
5
Text Summarization using Centrality Concept
... This concept is used to compute the sentence importance in a ...this concept, the text should be represented as a fully connected graph G= (V, ...3.1.1. Centrality of a ... See full document
8
Coverage Centrality Maximization in Undirected Networks
... the centrality metrics exhibit a sub- modular ...shortest-path based metrics are not submodular and, furthermore, the greedy algorithm exhibits an arbitrar- ily small approximation factor (D’Angelo, ... See full document
8
Centrality Metrics for Water Distribution Networks
... Considering the inflow or the outflow in each node, also pipe flowrates can generate nodal centrality metrics. In order to analyze non-trivial scenarios for presenting and discussing the centrality metrics, ... See full document
10
Random Walk Decay Centrality
... two centrality measures focus on the shortest paths in the ...v, based on the proportion of shortest paths (between any two other nodes) to which v ...Closeness centrality, originally proposed by ... See full document
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