Using declassified Federal Bureau of Narcotics records on 800 US Mafia members active in the 1950s and 1960s, and on their connections within the Cosa Nostra network, I estimate network effects on gangsters’ economic status. Lacking information on criminal proceeds, I measure economic status exploiting detailed information about their place of residence. Housing values are reconstructed using c...

objective: the present study aimed to determine the effectiveness of group triple-p on the relationships of mother-child with id (intellectual disability).  methods: in this semi-experimental study with pretest and posttest design by control group, parent-child relationship scale (pcrs) was determined in 40 random clustering selected mothers of children with id before and after the intervention...

In order to improve the city network mining method, inter-cities’ connection strength, structure and density, distribution patterns of in Yangtze River Economic Belt China have been empirically analyzed through combined application SNA “Dual-direction time distance” modified gravity model ArcGIS geographic visualization method. The results show that can better reveal interaction differences bet...

The theory of inclusive fitness has transformed our understanding of cooperation and altruism. However, the proximate psychological underpinnings of altruism are less well understood, and it has been argued that emotional closeness mediates the relationship between genetic relatedness and altruism. In this study, we use a real-life costly behaviour (travel time) to dissociate the effects of gen...

BACKGROUND When a newborn requires neonatal intensive care unit (NICU) hospitalization, parent and infant experience an unusual often prolonged separation. This critical care environment poses challenges to parent-infant closeness. Parents desire physical contact and holding and touching are particularly important. Evidence shows that visitation, holding, talking, and skin to skin contact are a...

The goal of this work is to identify the nodes that have the smallest sum of distances to other nodes (the lowest closeness centrality nodes) in graphs that evolve over time. Previous approaches to this problem find the lowest centrality nodes efficiently at the expense of exactness. The main motivation of this paper is to answer, in the affirmative, the question, ‘Is it possible to improve the...

Assortativity index (A. Index) of real-world network graphs has been traditionally computed based on the degree centrality metric and the networks were classified as assortative, dissortative or neutral if the A. Index values are respectively greater than 0, less than 0 or closer to 0. In this paper, we evaluate the A. Index of real-world network graphs based on some of the commonly used centra...

Closeness measures are crucial to clustering methods. In most traditional clustering methods, the closeness between data points or clusters is measured by the geometric distance alone. These metrics quantify the closeness only based on the concerned data points' positions in the feature space, and they might cause problems when dealing with clustering tasks having arbitrary clusters shapes and ...