نتایج جستجو برای: social relation network

تعداد نتایج: 1494026  

Journal: :رفاه اجتماعی 0
سید علیرضا افشانی s. alireza afshani عباس عسگری ندوشن abbas askari-nodoushan محمد حیدری mohammad heydari محمد نوریان نجف آبادی mohammad noorian najafabadi

intordaction : religion and its concepts have been a main as well as unique source in producing social capital. the development of social capital, as the raw material for a civil society, depends on certain variables including religion and religious culture. in spite of numerous researches on social capital and its factors, there are few systematic studies undertaken to examine interrelationshi...

2007
Gong Yu

Social network analysis is a new research field in data mining. The clustering in social network analysis is different from traditional clustering. It requires grouping objects into classes based on their links as well as their attributes. While traditional clustering algorithms group objects only based on objects’ similarity, and it can't be applied to social network analysis. So on the basis ...

2010
Sanjiv Sharma R. K. Gupta

Social network analysis is a new research field in data mining. The clustering in social network analysis is different from traditional clustering. It requires grouping objects into classes based on their links as well as their attributes. While traditional clustering algorithms group objects only based on objects’ similarity, and it can't be applied to social network analysis. So on the basis ...

2005
Yutaka Matsuo Yuki Yasuda

Social relation plays an important role in a real community. This paper overviews our project to automatically obtain a social network, especially a collaboration network of researchers, of a community from the Web. We operated our system at JSAI2003 and JSAI2004, and will operate at JSAI2005. Extracted networks in these three years are compared and analyzed to show the evolution of the researc...

Journal: :Computers in Human Behavior 2014
Han Lin William Tov Lin Qiu

We conducted three studies to understand how online emotional disclosure is influenced by social network structure on Facebook. Results showed that emotional disclosure was associated with both the density and size of users’ personal networks. Facebook users with denser networks disclosed more positive and negative emotions, and the relation between network density and emotional disclosure was ...

Journal: :The journals of gerontology. Series B, Psychological sciences and social sciences 2013
Nan Sook Park Yuri Jang Beom S Lee William E Haley David A Chiriboga

OBJECTIVES This study conceptualized loneliness as a mediator in the relation between social engagement and depressive symptoms and explored gender differences in the mediation model. Various indices of social engagement were considered including living arrangement, social network, and activity participation. METHOD Using data from 674 community-dwelling Korean American older adults, we first...

2013
Milan Petrík

Two results related to Mulholland inequality are presented. First, there are functions that are not geo-convex but solve Mulholland inequality; thus Mulholland’s condition is not necessary. Second, the set of functions that solve Mulholland inequality is not closed with respect to compositions. As a corollary, the dominance relation on the set of strict triangular norms is not transitive. The p...

2011
Dingshi Li Shujun Long

* Correspondence: [email protected] Yangtze Center of Mathematics, Sichuan University, Chengdu 610064, China Abstract The aim of this article is to study the attracting and quasi-invariant sets for a class of impulsive stochastic difference equations. By establishing a difference inequality, we obtain the attracting and quasi-invariant sets of systems under consideration. An example is give...

2011
Agnieszka Rusinowska Rudolf Berghammer Harrie De Swart Michel Grabisch

We deliver a short overview of different centrality measures and influence concepts in social networks, and present the relation-algebraic approach to the concepts of power and influence. First, we briefly discuss four kinds of measures of centrality: the ones based on degree, closeness, betweenness, and the eigenvector-related measures. We consider centrality of a node and of a network. Moreov...

2011
Agnieszka Rusinowska Rudolf Berghammer Harrie C. M. de Swart Michel Grabisch

We deliver a short overview of different centrality measures and influence concepts in social networks, and present the relation-algebraic approach to the concepts of power and influence. First, we briefly discuss four kinds of measures of centrality: the ones based on degree, closeness, betweenness, and the eigenvector-related measures. We consider centrality of a node and of a network. Moreov...

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