Results 21 to 30 of about 40,893 (263)
An Analysis of Centrality’s Features as a New Measure for Network Analysis, Risk Measurement & Portfolio Selection [PDF]
تحقیقات مالی, 2021 Objective: In network theory, centrality is a measure to estimate importance and influence of a special node to the whole network structure. The aim of this research is to investigate the characteristics of stock centrality and its reliability in risk ...
Saeed Fallahpour, Ali Ghahramani
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Rank monotonicity in centrality measures [PDF]
Network Science, 2017 AbstractA measure of centrality isrank monotoneif after adding an arcx→y, all nodes with a score smaller than (or equal to)yhave still a score smaller than (or equal to)y. If, in particular, all nodes with a score smaller than or equal toyget a score smaller thany(i.e., all ties withyare broken in favor ofy), the measure is calledstrictly rank monotone.
Paolo Boldi +2 more
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A Time-Ordered Aggregation Model-Based Centrality Metric for Mobile Social Networks
IEEE Access, 2018 How to measure the centrality of nodes is a significant problem in mobile social networks (MSNs). Current studies in MSNs mainly focus on measuring the centrality of nodes in a certain time interval based on the static graph that do not change over time.
Huan Zhou +5 more
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Knotty-centrality: finding the connective core of a complex network. [PDF]
PLoS ONE, 2012 A network measure called knotty-centrality is defined that quantifies the extent to which a given subset of a graph's nodes constitutes a densely intra-connected topologically central connective core. Using this measure, the knotty centre of a network is
Murray Shanahan, Mark Wildie
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Selection of activators in finding the burning number
AKCE International Journal of Graphs and Combinatorics, 2023 Graph burning is a model for spread of information in a network. In recent times social networks play a major role in the thought process of people and influences the social movements, election and politics.
Sumathi S., G. Hannah Grace
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Centrality measures in interval-weighted networks
Journal of Complex Networks, 2022 Abstract Centrality measures are used in network science to assess the centrality of vertices or the position they occupy in a network. There are a large number of centrality measures according to some criterion. However, the generalizations of the most well-known centrality measures for weighted networks, degree centrality, closeness ...
Hélder Alves +2 more
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Centrality Measures in Directed Fuzzy Social Networks
Fuzzy Information and Engineering, 2015 The centrality of actors has been a key issue in undirected fuzzy social network (UFSN) analysis. For undirected fuzzy social networks (UFSNs) where edges are just a present or absent undirected fuzzy relation with no more information attached. There has
Ren-Jie Hu +3 more
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Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient
ISPRS International Journal of Geo-Information, 2017 Influential nodes are rare in social networks, but their influence can quickly spread to most nodes in the network. Identifying influential nodes allows us to better control epidemic outbreaks, accelerate information propagation, conduct successful e ...
Xiaohui Zhao +3 more
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Journal of Economic Structures, 2017 Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities.
Ayu Pratiwi, Aya Suzuki
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PERFORMANCE EVALUATION OF BETWEENNESS CENTRALITY USING CLUSTERING METHODS
Studia Universitatis Babes-Bolyai: Series Informatica, 2020 Betweenness centrality measure is used as a general measure of centrality, which can be applied in many scientific fields like social networks, biological networks, telecommunication networks or even in any area that can be well modelled using complex ...
Bence SZABARI, Attila KISS
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