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Finding Statistically Significant Communities in Networks

Andrea Lancichinetti, Filippo Radicchi, José J. Ramasco, Santo Fortunato, Eshel Ben-Jacob
2011 PLoS ONE  
In this paper we present OSLOM (Order Statistics Local Optimization Method), the first method capable to detect clusters in networks accounting for edge directions, edge weights, overlapping communities  ...  It is based on the local optimization of a fitness function expressing the statistical significance of clusters with respect to random fluctuations, which is estimated with tools of Extreme and Order Statistics  ...  Finding Significant Communities in Networks LFR benchmark.  ... 
doi:10.1371/journal.pone.0018961 pmid:21559480 pmcid:PMC3084717 fatcat:ppih2suqvzb7pb4xlnpu7wgq6m

Finding Statistically Significant Communities in Networks with Weighted Label Propagation

Wei Hu
2013 Social Networking  
Wilcoxon tests on the communities found in the karate club network by WLPA demonstrated an improved statistical significance over SLPA.  ...  Various networks exist in the world today including biological, social, information, and communication networks with the Internet as the largest network of all.  ...  The statistical significance of the communities found in Zachary's karate club network was measured with Wilcoxon tests.  ... 
doi:10.4236/sn.2013.23012 fatcat:elz7igwr45eivbn6jhtvfxs4xq

Statistical significance of communities in networks

Andrea Lancichinetti, Filippo Radicchi, José J. Ramasco
2010 Physical Review E  
In this work, we introduce a new measure aimed at quantifying the statistical significance of single communities.  ...  The method is successfully applied in the case of real-world networks for the evaluation of the significance of their communities.  ...  Acknowledgments The authors would like to thank Muhittin Mungan for his contribution in the discussion that led to Eq. (2), as well as him, Alessandro Flammini and Santo Fortunato for critical reading  ... 
doi:10.1103/physreve.81.046110 pmid:20481789 fatcat:fmjtk5falvczdh7km6wv7vxhfu

Conveying the Message: Building Relationships in a Varied Team

Karina Bean
2013 Journal of Business & Management  
One difference identified in the findings indicated that Caucasian Baby Boomers make use of telephones when networking more often than African Generation X'ers.  ...  In view of the results it is recommended, among other things, that preferences with regard to network mediums be noted, as such awareness may lead to more effective networking / communication within businesses  ...  Acknowledgments Kusasalethu mine Statistical department NWU  ... 
doi:10.12735/jbm.v2i1p11 fatcat:wyjrd5drobhmhovhfp7ylmqdwe

Communities and bottlenecks: Trees and treelike networks have high modularity

James P. Bagrow
2012 Physical Review E  
Statistical tests reveal the communities in trees to be significant, in contrast with known results for partitions of sparse, random graphs.  ...  Communities, also known as clusters or modules, are typically considered to be densely interconnected groups of nodes that are only sparsely connected to other groups in the network.  ...  OCI-0838564-VOSS) and the US Army Research Laboratory's Network Science Collaborative Technology Alliance (Grant No. W911NF-09-2-0053). 066118-7  ... 
doi:10.1103/physreve.85.066118 pmid:23005173 fatcat:pk3kphrzpvfh3piyjohj45zliy

Scalable detection of statistically significant communities and hierarchies, using message passing for modularity

Pan Zhang, Cristopher Moore
2014 Proceedings of the National Academy of Sciences of the United States of America  
Finally we show that by applying our algorithm recursively, subdividing communities until no statistically-significant subcommunities can be found, we can detect hierarchical structure in real-world networks  ...  It also performs well on real-world networks, revealing large communities in some networks where previous work has claimed no communities exist.  ...  This suggests that these networks possess statistically significant large-scale communities, in contrast to the claim made in [35] . V.  ... 
doi:10.1073/pnas.1409770111 pmid:25489096 pmcid:PMC4280643 fatcat:5bc4kci2s5gxxbmduarf2luqyy

The Analysis of the Relationship between Communication Skills and the Establishment of Clarks Management Network among Sport Managers

Rasool NAZARI
2016 International journal of Science Culture and Sport  
In general, it can acknowledge that the communication skills are effective in the establishment of Clark's management network and cause to improve the management process of sport organizations' managers  ...  In addition, the feedback component has greater contribution to prediction of Clark's management network (p 0.05).  ...  skills and the establishment of Clark's management network components Mean t-statistic df Significance Level Female Male Communication Skills 3.15 3.34 2.87 139 0.001 Verbal 3.28 3.55  ... 
doi:10.14486/intjscs469 fatcat:4nio63sqkvegzad4t7iw7zsjmi

Online Social Networks: Changing the Face of Business Education and Career Planning

VladlenaFilippaios, Benson
2010 International Journal of e-Business Management  
in the use of social networks to enhance their career prospects.  ...  This study reports the findings of a survey of 272 UK and international business school students on career development and entrepreneurship as a part of a wider study of online social networking.  ...  significant at 10%, ** Statistically significant at 5%, *** Statistically significant at 1% To further explore our first research question motivations for registering with a certain social network were  ... 
doi:10.3316/ijebm0401020 fatcat:jaq7epeyxvbl3o37nhlczwwibm

Detecting Statistically Significant Communities [article]

Zengyou He, Hao Liang, Zheng Chen, Can Zhao
2019 arXiv   pre-print
The configuration model is a widely used random graph model in community detection, in which the degree of each node is preserved in the generated random networks.  ...  Meanwhile, we present a local search method to detect statistically significant communities in an iterative manner.  ...  In many real applications, it is critical to find network communities that are statistically significant.  ... 
arXiv:1806.05602v2 fatcat:35jnxpzzwjamtce6ern4h53rky

Designing a Social Network to Support E-learning Activities at the Department of Communications, University of Žilina

Radovan Madleňák, Lucia Madleňáková, Eva Kianičková
2015 Procedia - Social and Behavioral Sciences  
Internet communication is connected with social media and especially with social networks in the recent years. This phenomenon we can notice also in the sphere of education.  ...  The aim of this work is the research of possibilities of using social networks at Žilina University in Žilina, which primarily should serve for the communication between teachers and students  ...  Hypothesis n.4 -We suppose that more than 50% of respondents would like to have own University social network, which is not statistically significant in terms of the degree of study.  ... 
doi:10.1016/j.sbspro.2015.01.449 fatcat:4jigr5dunrfgpdqhdwyp5tbbhu

Detecting the optimal number of communities in complex networks

Zhifang Li, Yanqing Hu, Beishan Xu, Zengru Di, Ying Fan
2012 Physica A: Statistical Mechanics and its Applications  
Moreover, the statistic Ω(c) can also measure the significance of community structures in complex networks, which has been paid more attention recently.  ...  In this paper, we extend the measurement of community detecting algorithms to find the optimal community number.  ...  Measuring the significance of community structures Many efficient methods have been proposed for finding communities, but few of them can evaluate the communities found are significant or trivial definitely  ... 
doi:10.1016/j.physa.2011.06.023 fatcat:yaztx4vwunepzdtsmlyz65cttq

Food Tourism Revisited

Ramesh Raj Kunwar
2017 Journal of Tourism and Hospitality Education  
Food majorly describes the patterns that communities are residing.  ...  <p>Though food is the basic need of human being, it is the best way to express the culture and the tradition of a community.  ...  These functions are seen not only in interactive and virtual communication networks, but also in real communication networks.  ... 
doi:10.3126/jthe.v7i0.17691 fatcat:ypxelqwcjreljhmhrdwrmiqhgi

Tie-formation process within the communities of the Japanese production network: application of an exponential random graph model

Hazem Krichene, Abhijit Chakraborty, Yoshi Fujiwara, Hiroyasu Inoue, Masaaki Terai
2019 Applied Network Science  
Finally, we show that sector homophily does not serve as an obvious mechanism of partnership at the community level in the production network.  ...  This paper studies the driving forces behind the formation of ties within the major communities in the Japanese nationwide network of production, which contains one million firms and five million links  ...  Funding This study was conducted as part of the project "Large-scale Simulation and Analysis of Economic Network for Macro Prudential Policy" undertaken at the Research Institute of Economy, Trade and  ... 
doi:10.1007/s41109-019-0112-9 fatcat:jtdw6s4c7jhpfj3xj2x4dmzkzq

Uncovering dynamic stock return correlations with multilayer network analysis

Danielle N. Rubin, Danielle S. Bassett, Robert Ready
2019 Applied Network Science  
We observe that the flexibility, or the likelihood of industries to switch communities, exhibits a statistically significant increase after 1970, and that the communities evolve in ways consistent with  ...  We find that these patterns are not explained by changes in average pairwise correlations or industry market betas.  ...  To assess the statistical significance of the patterns we identify in the data, we compare the empirically derived statistics to those expected in an appropriate dynamic network null model.  ... 
doi:10.1007/s41109-019-0132-5 fatcat:6y3zfdcatnc4naniavv4opj5u4

The relationship between social network usage and some personality traits

Mehmet Bilgin, Asena Yılmaz
2017 Journal of human sciences  
In association with five personality traits of social media purpose, it was found that there are significant differences with different personality traits for each purpose.  ...  In the analysis of data, understanding of social media use times whether it differs according to big five personality traits, According to the social media using time, there was no significant difference  ...  RESULTS In this section, the ANOVA and MANOVA findings obtained from statistical analyses are presented.  ... 
doi:10.14687/jhs.v14i3.4659 fatcat:zaz5gj37bfeq3cxfmimifutk4q
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