Search results for "Social Network Analysis"
showing 10 items of 82 documents
The Spanning Tree based Approach for Solving the Shortest Path Problem in Social Graphs
2016
Nowadays there are many social media sites with a very large number of users. Users of social media sites and relationships between them can be modelled as a graph. Such graphs can be analysed using methods from social network analysis (SNA). Many measures used in SNA rely on computation of shortest paths between nodes of a graph. There are many shortest path algorithms, but the majority of them suits only for small graphs, or work only with road network graphs that are fundamentally different from social graphs. This paper describes an efficient shortest path searching algorithm suitable for large social graphs. The described algorithm extends the Atlas algorithm. The proposed algorithm so…
Beyond the Family and the Household: Occupational Family Networks
2009
Although families and kinship have been studied extensively from a historical perspective, less attention has been paid to their significance and role in the formation of local social networks.This study makes use of extensive Finnish records of godparentage to map local networks to analyze the factors (kinship, work relations, neighborhood, friendship) that influenced their formation. It argues that, in the context of a closed industrial community, occupation and kinship were the major cornerstones of these networks. Only after work-related inequality was slowly eliminated in the early twentieth century did kinship begin to gain ground as the main influencing factor.
Place Attachment and Its Consequence for Landscape-Scale Management and Readiness to Participate: Social Network Complexity in the Post-Soviet Rural …
2019
This paper uses the tripartite place attachment framework to examine six rural parishes across Estonia and Latvia. Existing analyses/frameworks on participatory processes often neglect the complexity of relationships that rural residents have to their local environments. From a qualitative analysis of face-to-face, semi-structured interviews with case study area inhabitants (23 interviews in Estonia and 27 in Latvia), we depict varying degrees of attachment of individuals to each other and to the place in which they live and their readiness to participate in terms of willingness and ability to participate in a landscape-scale management process. Attachment to the local area was strongest wh…
Global collaborative networks on meta-analyses of randomized trials published in high impact factor medical journals: a social network analysis
2014
Abstract Background Research collaboration contributes to the advancement of knowledge by exploiting the results of scientific efforts more efficiently, but the global patterns of collaboration on meta-analysis are unknown. The purpose of this research was to describe and characterize the global collaborative patterns in meta-analyses of randomized trials published in high impact factor medical journals over the past three decades. Methods This was a cross-sectional, social network analysis. We searched PubMed for relevant meta-analyses of randomized trials published up to December 2012. We selected meta-analyses (including at least randomized trials as primary evidence source) published in…
Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia
2020
Compared to other types of social networks, criminal networks present hard challenges, due to their strong resilience to disruption, which poses severe hurdles to law-enforcement agencies. Herein, we borrow methods and tools from Social Network Analysis to (i) unveil the structure of Sicilian Mafia gangs, based on two real-world datasets, and (ii) gain insights as to how to efficiently disrupt them. Mafia networks have peculiar features, due to the links distribution and strength, which makes them very different from other social networks, and extremely robust to exogenous perturbations. Analysts are also faced with the difficulty in collecting reliable datasets that accurately describe the…
Multilayer Network Model of Movie Script
2018
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The network model well captures all characters interactions, giving a broad picture of the narration’s content. A few works went beyond by introducing additional semantic elements, always captured in a single layer network. In contrast, we introduce in this work a multilayer network model to capture more elements of the narration of a movie from its script: people, locations, and other semantic elements. This model enables new measures and insights…
Social Network Analysis of Sicilian Mafia Interconnections
2019
In this paper, we focus on the study of Sicilian Mafia organizations through Social Network Analysis. We analyse datasets reflecting two different Mafia Families, based on examinations of digital trails and judicial documents, respectively. The first dataset includes the phone calls logs among suspected individuals. The second one is based on police traces of meeting that have taken place among different types of criminals. Our breakthrough is twofold. First in the method followed to generate these new datasets. Second, in the method used to carry out a quantitative phenomena investigation that are hard to evaluate. Our networks are weighted ones, with each weight catching the frequency of …
La colaboración interinstitucional en la producción científica española en Enfermería: análisis de redes sociales
2013
[EN]: [Objective]: The objectives of this paper are to analyze the Spanish scientific production in nursing, define its temporal evolution, its geographical and institutional distribution, and observe the interinstitutional collaboration. [Method]: We analyze a comprehensive sample of Spanish scientific production in the nursing area extracted from the multidisciplinary database SciVerse Scopus. [Results]: The nursing scientific production grows along time. The collaboration rate is 3.7 authors per paper and 61% of the authors only publish one paper. Barcelona and Madrid are the provinces with highest number of authors. Most belong to the hospitalary environment, followed closely by authors…
Redes de colaboración y autorías científicas sobre la enfermedad de Chagas: análisis de las publicaciones indexadas en PubMed (1940-2009)
2012
Chagas disease is a chronic, tropical, parasitic disease, endemic throughout Latin America. The large-scale migration of populations has increased the geographic distribution of the disease and cases have been observed in many other countries around the world. To strengthen the critical mass of knowledge generated in different countries, it is essential to promote cooperative and translational research initiatives. We analyzed authorship of scientific documents on Chagas disease indexed in the Medline database from 1940 to 2009. Bibliometrics was used to analyze the evolution of collaboration patterns. A Social Network Analysis was carried out to identify the main research groups in the are…
A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilo…
2021
[EN] Background: Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps. Objective: This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations. Methods: We first studied the users' needs and gathered users' graphical preferences through an open survey on 52 wireframes designed by 150 design students; it also included questions about sociodemographics, diet and activity habits, the need for overweight and o…