Objectives. This study examines which of five neighborhood conditions help account for racial differences in social networks. Methods. The data set is the Urban Poverty and Family Life Survey, a survey of blacks, whites, Mexicans, and Puerto Ricans clustered in Chicago Census tracts, matched to 1990 Census data. I estimate HGLM models predicting five indicators of social isolation and five indi...

background and objectives: while social network analysis has left a remarkable practical impact in the healthcare field, the potential implication of this methodology in the primary health domain is poorly researched. hence, this study aimed to explore the use and usefulness social network analysis in the context of primary health care. methods: the health volunteers of imam ali health center i...

basins leading to tabriz plain are part of the sub-basins of urmia lake basin, which is located in the east azerbaijan province and in the north-western part of iran. the area of this basin is 5397 km2, and agriculture is one of the main sources of income for the people, which is dependent on groundwater and surface water resources. in this study, an attempt was made to investigate the basins l...

Friendship networks are instrumental to a whole range of outcomes including career success and personal wellbeing, as such it is important ask how social shaped by personality variables. However, previous research examining extraversion associated with network size closeness members has produced inconsistent findings. Here, we assessed (HEXACO model) was three key features advice (size, density...

In this paper, we introduce a novel fuzzy method which is combined fuzzy relation, interaction probability values and hub structure to detect sub-communities in complex networks. We apply our method on yeast proteinprotein interaction network to identify the protein complexes. Compared with traditional method, more protein complexes have been identified by this new fuzzy method. Meanwhile, we e...

A standard planar Kernel Density Estimation (KDE) aims to produce a smooth density surface of spatial point events over a 2-D geographic space. However the planar KDE may not be suited for characterizing certain point events, such as traffic accidents, which usually occur inside a 1-D linear space, the roadway network. This paper presents a novel network KDE approach to estimating the density o...

Major depressive disorder (MDD) is a prevalent disorder involving disturbances in mood. There is still much to understand regarding precisely how emotions are disrupted in individuals with MDD. In this study, we used a network approach to examine the emotional disturbances underlying MDD. We hypothesized that compared with healthy control individuals, individuals diagnosed with MDD would be cha...

We propose a new cost function for neural network classification: the error density at the origin. This method provides a simple objective function that can be easily plugged in the usual backpropagation algorithm, giving a simple and efficient learning scheme. Experimental work shows the effectiveness and superiority of the proposed method when compared to the usual mean square error criteria ...

In the paper some approaches, using program Pajek, to analysis and visualization of networks derived from texts are presented and illustrated on Reuters terror news network. It is shown that using the proposed approaches we can identify in the news network the main themes as we remember them from the news of that period, and also to filter out the secondary themes.