Beyond mixed metaphors of networks: applying social network analysis to study #PublicAuthority and governance

Patrycja Stys explores how using Social Network Analysis (SNA) can improve our understanding of public authority

Social Network Analysis on Food Web and Dispute Data

Several social science disciplines, especially anthropology and sociology, have long engaged in social network analyses. Social Network Analysis (SNA) uses network theory to analyse social networks – a network that often involves individual social actors (people) and relations between them. Social network analysis aims at understanding the network structure by description, visualization, and statistical modeling. In this research, the illustration of the use of SNA is done on two different datasets: food web data and militarized interstate dispute data

Who students interact with? A social network analysis perspective on the use of Twitter in language learning

This paper reports student interaction patterns and self-reported results of using Twitter microblogging environment. The study employs longitudinal probabilistic social network analysis (SNA) to identify the patterns and trends of network dynamics. It is building on earlier works that explore associations of student achievement records with the observed network measures. It integrates gender as an additional variable and reports some relation with interaction patterns. Additionally, the paper reports the results of a questionnaire that enables further discussion on the communication patterns

Gades and the Mediterranean: a Process of Integration

The impetus for this paper is to present possible contributions of the Network Theory approach to the analysis of the Roman presence in Turdetania by the end of the 1st millennium BC. Firstly, we discuss how some written sources, such as Strabo’s Geography, describe this region and how the countryside and coastal areas are mentioned. Secondly, we present how contemporary historiography makes use of Network Theory to investigate numerous issues of Ancient History. Finally, we point out a proposal for Social Network Analysis (SNA) to questions regarding Turdetania before and after Roman occupation

Monitoring student creative capacity: using network visualisation to evaluate pedagogical practice

This paper explores how research in the fields of Social Network Analysis (SNA) and Business can be applied to monitoring the development of student creative capacity

ANALISIS STRUKTUR JARINGAN KOMUNIKASI #SEAGAMES2023 DI TWITTER MENGGUNAKAN PENDEKATAN SOCIAL NETWORK ANALYSIS (SNA)

Southeast Asian Games (SEA Games) atau Pesta Olahraga Asia Tenggara merupakan ajang perlombaan di bidang olahraga yang mengadu antara negara – negara di Asia Tenggara. Pada tahun ini diselenggarakan di negara Kamboja. Seluruh elemen masyarakat ikut memeriahkan SEA Games 2023 baik secara langsung maupun lewat media sosial. Salah satu media sosial yang ikut meramaikan event ini yaitu twitter, diamana banyak penggunanya yang mengunggah tweet dengan hashtag khusus yaitu #SEAGames2023. Melihat fenomena yang ada membuat dilakukannya penelitian mengenai jaringan komunikasi. Metode penelitian yang dilakukan adalah Social Network Analysis (SNA) yang berfokus pada relationship research dan digunakan untuk mengukur suatu hubungan menggambarkan beberapa informasi dari individu melalui aplikasi Netlytic. Hasil dari penelitian menunjukan tipe relasi two mode, ditemukan juga tiga bentuk pola jaringan komunikasi yang berbeda, yakni pola komunikasi rantai, pola komunikasi Y dan pola komunikasi roda. Kata Kunci : #SEAGames2023, Aktor, Social Network Analysis (SNA), Twitte

Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College

Campus competition in Central Java creates superior and empowered human resources to make XYZ campus optimize the Knowledge Sharing process. In optimizing the Knowledge Sharing process on the XYZ campus through interaction and communication between students in the study program. This study aims to identify the Knowledge Sharing collaboration of students on the XYZ campus in three study programs with 100 respondents using the Social Network Analysis (SNA) method. The parameters used in this study include density, degree centrality, closeness centrality, betweenness centrality, and clicks (subgroups). Based on the analysis of the results obtained by the level of density level of 4.7% or weak ties because under 50%. Actor 98 has the highest degree of centrality with outdegree value 32 and indegree 7, while actor 65, which has the highest closeness centrality with inCloseness value 16,952 and outCloseness value 1,020. Actor 15 also has the highest centrality betweenness with an amount of Betweenness 2750,148 and nBetweenness 28,346. In this study, it can be concluded that there is collaboration in the Knowledge Sharing of students on the XYZ campus from each divided into three study programs, namely, informatics engineering, accounting computerization, and graphic design.Campus competition in Central Java creates superior and empowered human resources to make XYZ campus optimize the Knowledge Sharing process. In optimizing the Knowledge Sharing process on the XYZ campus through interaction and communication between students in the study program. This study aims to identify the Knowledge Sharing collaboration of students on the XYZ campus in three study programs with 100 respondents using the Social Network Analysis (SNA) method. The parameters used in this study include density, degree centrality, closeness centrality, betweenness centrality, and clicks (subgroups). Based on the analysis of the results obtained by the level of density level of 4.7% or weak ties because under 50%. Actor 98 has the highest degree of centrality with outdegree value 32 and indegree 7, while actor 65, which has the highest closeness centrality with inCloseness value 16,952 and outCloseness value 1,020. Actor 15 also has the highest centrality betweenness with an amount of Betweenness 2750,148 and nBetweenness 28,346. In this study, it can be concluded that there is collaboration in the Knowledge Sharing of students on the XYZ campus from each divided into three study programs, namely, informatics engineering, accounting computerization, and graphic design

Technology Foresight: A Bibliometric Analysis to Identify Leading and Emerging Methods

Foresight studies provide essential information used by the government, industry and academia for technology planning and knowledge expansion. They are complicated, resource-intensive, and quite expensive. The approach, methods, and techniques must be carefully identified and selected. Despite the global importance of foresight activities, there are no frameworks to help one develop and plan a proper foresight study. This paper begins Keywords: technology foresight; strategic foresight; adaptive foresight; Social Network Analysis (SNA); bibliometric tools; data mining; text mining. to close this gap by analyzing and comparing different schools of thought and updating the literature with the most current tools and methods. Data mining techniques are used to identify articles through an extensive literature review. Social Network Analysis (SNA) techniques are used to identify and analyze leading journals, articles, and researchers. A framework is developed here to provide a guide to help in the selection of methods and tools for different approaches