scholarly journals Social network analysis and mining: challenges and applications

2021 ◽  
Author(s):  
Bruna P. Fonseca ◽  
Priscila C. Albuquerque ◽  
Fabio Zicker ◽  
Carlos M. Morel
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Practical Knowledge ◽  
Relevant Information ◽  
Critical Perspective ◽  
Research Fields ◽  
New Challenges ◽  
Advanced Computing ◽  
Computing Infrastructure

Social network analysis and mining (SNAM) is a powerful tool to dis- close relevant information hidden in large volumes of raw data. Its application to several research fields, powered by automation and advanced computing infrastructure, expanded its use and brought along new challenges. In this paper, we provide a critical perspective on SNAM’s major challenges, by discussing a few examples. We also address some promising applications that can potentially translate SNAM results into practical knowledge.

scholarly journals #DigPed Narratives in Education: Critical Perspectives on Power and Pedagogy

2018 ◽  
Vol 22 (3) ◽  
Author(s):  
Suzan Koseoglu ◽  
Aras BOZKURT
Keyword(s):  
Social Network ◽  
Mixed Methods ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Critical Pedagogy ◽  
Thematic Analysis ◽  
Mixed Methods Study ◽  
Knowledge Gap ◽  
Critical Perspective ◽  
Educational Discourse

This mixed methods study addresses a knowledge gap in the nature and effects of networked scholarship. We analyze #DigPed, a Twitter hashtag on critical pedagogy, through the lens of Tufekci’s Capacities and Signals framework in order to understand (1) how educational narratives develop and spread on #DigPed, and (2) the nature of their capacities. Using Social Network Analysis and thematic analysis of content, we identify three prominent narratives in the network and discuss the network structures from a critical perspective. Based on the findings, we propose pedagogic capacity—the power to initiate a productive and potentially transformative educational discourse, within one’s self and within communities—as an additional lens to explore the spread and impact of critical narratives in education. Findings confirm the view that networked spaces are organized by hidden hierarchies marked by influence.

scholarly journals Flowbca: A Flow-Based Cluster Algorithm in Stata

2018 ◽  
Vol 18 (3) ◽  
pp. 564-584
Author(s):  
Jordy Meekes ◽  
Wolter H. J. Hassink
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Economic Geography ◽  
Cluster Algorithm ◽  
Relational Data ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Research Fields

In this article, we introduce the Stata implementation of a flow-based cluster algorithm, flowbca, written in Mata. The main purpose of flowbca is to identify clusters based on relational data of flows. We illustrate the command by providing multiple examples of applications from the research fields of economic geography, industrial input–output analysis, and social network analysis.

Social network analysis for farmers' hearing services in a rural community

2010 ◽  
Vol 16 (1) ◽  
pp. 47 ◽  
Author(s):  
Tony Lower ◽  
Lyn Fragar ◽  
Julie Depcynzksi ◽  
Jeffrey Fuller ◽  
Kathy Challinor ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Service ◽  
Service Provision ◽  
Relevant Information ◽  
Health Networks ◽  
Health Service Provision ◽  
Hearing Health ◽  
Farming Families

This study aimed to define current hearing health service networks for farming families in a major regional centre in New South Wales, in order to identify approaches that can strengthen local service provision. A pilot survey of individuals and agencies that potentially work with farmers was undertaken and a social network analysis completed to assess the self-reported links of agencies with each other. Thirteen agencies with a role in hearing health service provision participated with results indicating that nurse audiometrists, WorkCover NSW and agricultural retailers have the lead role in disseminating relevant information within the network. For client referrals the nurse audiometrist, private audiometry services, general practitioners, ear, nose and throat specialists and industry groups played the major roles. Social network analysis can assist in defining hearing health networks and can be used to highlight potential actions that can strengthen networks to enhance services for farmers and their families.

scholarly journals A Qualitative Analysis of a Team Fortress 2 Social Network

2018 ◽  
Author(s):  
Ilan Tollman ◽  
Motty Yaffe
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Qualitative Analysis ◽  
Online Social Network ◽  
Computer Game ◽  
Relevant Information ◽  
Social Consequence ◽  
Academic Field ◽  
Gaming Culture

The Gaming Industry is one of the most dynamic and fasted growing of our time, from the arcade culture to the widespread integration of household gaming consoles and home gaming PCs, whose steadily rising popularity, performance and inter-connectivity is allowing for more and more growth in the range and permeability of gaming and gaming culture. With its widespread popularity and its ever-increasing influence, through the acceptance of gaming culture as mainstream, the gaming world is becoming a crucial field of study for better understanding of online communities and social interaction. In this paper we will expand on the academic field of Online Social Network Analysis through the examination of a selected social network from the gaming world as a microcosm of online social interactions. The paper will draw on Social Network Analysis, Sociology and Communications theories to further expand the understanding of on-line interactions on a network scale. Current gaming focused research leads in two main directions, social consequence whether they be pro social or anti social. There is also however a smaller developing trend of study within the Social Network Analysis field that uses the data collected by computer game makers to study network structure as a variable of its own. In this research the findings of this trend within the computer game research will be used to conduct a qualitative Analysis of a small friends list network from Team Fortress 2. The data collected will compared and contrasted with established Sociology and Communications theories, the expected results and variances will then be explained using the findings of Social Network Analysis research.The Research draws the Two Step Flow communications theory (Lazarsfeld, 1948), and a slightly more refined version of the theory (Katz, 1957), to deduce relevant information on the interaction between companies, hardcore gamers and more casual gamers. The study will also draw predominantly on Mark Granovette work on Social Network Analysis.

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