scholarly journals Estimating High Betweenness Centrality Nodes via Random walk in Social Networks

2020 ◽  
Vol 28 (0) ◽  
pp. 436-444
Author(s):  
Kazuki Nakajima ◽  
Kazuyuki Shudo
Keyword(s):  
Social Networks ◽  
Random Walk ◽  
Betweenness Centrality ◽  
High Betweenness ◽  
High Betweenness Centrality

scholarly journals Identifying high betweenness centrality nodes in large social networks

2012 ◽  
Vol 3 (4) ◽  
pp. 899-914 ◽  
Author(s):  
Nicolas Kourtellis ◽  
Tharaka Alahakoon ◽  
Ramanuja Simha ◽  
Adriana Iamnitchi ◽  
Rahul Tripathi
Keyword(s):  
Social Networks ◽  
Betweenness Centrality ◽  
High Betweenness ◽  
High Betweenness Centrality

scholarly journals Family Networks and Distributive Politics

2019 ◽  
Vol 18 (4) ◽  
pp. 1697-1725 ◽  
Author(s):  
Marcel Fafchamps ◽  
Julien Labonne
Keyword(s):  
Betweenness Centrality ◽  
Public Services ◽  
The Philippines ◽  
Political Support ◽  
Goods And Services ◽  
Elite Status ◽  
High Betweenness ◽  
Aggregate Loss ◽  
Using Data ◽  
High Betweenness Centrality

Abstract We study the distribution of public services by local politicians when political support spreads through social networks. We sketch a model showing that incumbents target goods and services to individuals who would lead to the largest aggregate loss of support if they stopped supporting the incumbent. Those individuals have high betweenness centrality. Using data on 3.6 million households from the Philippines, we show that households with high betweenness centrality receive a greater number of public services from their local government. This result is robust to the inclusion of controls for program eligibility, detailed measure of family wealth and elite status, family ties with politicians, and other measures of centrality.

scholarly journals International collaboration of Polish research entities in a territorial context

2020 ◽  
Vol 64 (7) ◽  
pp. 118-129
Author(s):  
Anna Sworowska-Baranowska
Keyword(s):  
Betweenness Centrality ◽  
Scientific Collaboration ◽  
Mining Institute ◽  
Network Density ◽  
Special Focus ◽  
Degree Centrality ◽  
Significant Activity ◽  
Cross Border ◽  
High Betweenness ◽  
High Betweenness Centrality

The aim of the article was to characterize the structure of scientific collaboration launched by Polish institutions in partnership with foreign entities in 2019 with a special focus on the territorial context. An analysis of the network generated on the basis of data from the POL-on system was made: weak components, the degree centrality and the betweenness centrality for each entity were identified, as well as significant connections in the network reduced to the level of countries and to voivodeships. A key entity in the network was indicated (the Central Mining Institute). Some foreign entities show high betweenness centrality in the considered network. At the level of relations between countries, the high network density and significant activity of institutions from Germany were observed, which in the future may hinder gaining advantages. Scientific collaboration of Polish institutions is carried out mainly with centres located in Europe, but it is generally not cross-border.

scholarly journals The correlations between Th1 and Th2 cytokines in human alveolar echinococcosis

2020 ◽  
Author(s):  
Xiao Ma ◽  
Xuefei Zhang ◽  
Jia Liu ◽  
Yufang Liu ◽  
Cunzhe Zhao ◽  
...  
Keyword(s):  
Betweenness Centrality ◽  
Alveolar Echinococcosis ◽  
Healthy Control Group ◽  
Control Group ◽  
Th2 Cytokines ◽  
High Betweenness ◽  
Th1 And Th2 Cytokines ◽  
Healthy Control ◽  
High Betweenness Centrality ◽  
Th1 And Th2

Abstract Background: Alveolar echinococcosis (AE) is a cosmopolitan zoonotic parasitic disease caused by Echinococcus multilocularis larval tapeworm infections in humans that severely impairs the health of affected patients. Methods: The expression levels of 20 cytokines associated with AE infection were measured by enzyme-linked immunosorbent assay, and the correlations between these cytokines were analysed in the R programming language. Results: Serum cytokine levels differed among individuals in both the AE patient and healthy control groups. Related studies have shown that different cytokines are associated with AE. Therefore, we investigated the correlations among the cytokines; these correlations were simple in the healthy control group butcomplex in the AE patient group. Th2 cytokines, such as interferon (IFN)-γ, interleukin (IL)-1β and monocyte chemoattractant protein (MCP)-1, had high betweenness centrality in AE patients, whereas Th1 cytokines, such as growth-regulated oncogene (GRO)-α, eotaxin and IL-5, had high betweenness centrality in the healthy control group. Conclusions: The altered correlations between Th1 and Th2 cytokines may be closely associated with AE progression.

scholarly journals Jaringan Komunikasi Pelaku Inovasi Agribisnis Kolam Ikan Air Deras di Kecamatan Caringin Kabupaten Bogor

2017 ◽  
Vol 15 (1) ◽  
Author(s):  
Imsar Gunawan ◽  
Ninuk Purnaningsih ◽  
Basita Ginting
Keyword(s):  
Communication Network ◽  
Interpersonal Communication ◽  
Communication Networks ◽  
Betweenness Centrality ◽  
Fish Culture ◽  
Running Water ◽  
Water Fish ◽  
High Betweenness ◽  
Survey Results ◽  
High Betweenness Centrality

Running water fish culture is one of the techniques in freshwater fish cultivation. This activity forms an agribusiness system and interactions from the individuals involved. These interactions form a communication network. This study aimed to provide a description of running water fish culture innovation, analyze the interpersonal communication networks in running water fish culture agribusiness, factors that influence the interpersonal communication networks, and analyze the factors that influence business sustainability. This research which used the census method was conducted in Caringin Subdistrict Bogor Regency. Survey results show that the communication network formed was of scattered personal networks. The outdegree centrality and indegree centrality values obtained were categorized as medium respectively. The closeness centrality value is also in the medium category. Whereas the betweenness centrality value for running water fish agribusiness participants is known to be the highest. Those individuals with high betweenness centrality values possess the ability to organize communication in their networks.

Compressive sensing of high betweenness centrality nodes in networks

2018 ◽  
Vol 497 ◽  
pp. 166-184 ◽  
Author(s):  
Hamidreza Mahyar ◽  
Rouzbeh Hasheminezhad ◽  
Elahe Ghalebi K. ◽  
Ali Nazemian ◽  
Radu Grosu ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Betweenness Centrality ◽  
High Betweenness ◽  
High Betweenness Centrality

A note on implementation of a random-walk design to study adolescent social networks

1995 ◽  
Vol 17 (3-4) ◽  
pp. 251-255 ◽  
Author(s):  
Gene A. McGrady ◽  
Clementine Marrow ◽  
Gail Myers ◽  
Michael Daniels ◽  
Mildred Vera ◽  
...  
Keyword(s):  
Social Networks ◽  
Random Walk
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