The HiTS/ISAC Social Network Analysis Tool

2012 ◽  
Author(s):  
Hirad Asadi ◽  
Christian Martenson ◽  
Pontus Svenson ◽  
Magnus Skold
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Tool

scholarly journals Exploring the Roles of Social Participation in Mobile Social Media Learning: A Social Network Analysis

2015 ◽  
Vol 16 (4) ◽  
Author(s):  
Helmi Norman ◽  
Norazah Nordin ◽  
Rosseni Din ◽  
Mohamad Ally ◽  
Huseyin Dogan
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Participation ◽  
Future Research ◽  
Analysis Tool ◽  
Daily Lives ◽  
Social Media Platforms ◽  
Media Learning

<p class="BODYTEXT">Social media is increasingly becoming an essential platform for social connectivity in our daily lives. The availability of mobile technology has further fueled its importance – making it a ubiquitous tool for social interaction. An emerging mode of learning is the mobile social media learning where social media is used in the mobile learning mode. However, limited studies have been conducted to investigate roles of social participation in this field. Thus, the study investigates roles of social participation in mobile social media learning using the “ladder of participation and mastering”. Participants were students taking an educational technology course in a local university. The study was conducted in a four-month period. Data was collected from discussions while learning among the students using one of the mobile social media platforms, Facebook groups. The data was analyzed using a social network analysis tool, NodeXL. Data was analyzed based on egocentric networks, betweeness centrality, and closeness centrality. The findings revealed that there are four roles of social participation in mobile social media, which are: (i) lurkers; (ii) gradually mastering members/passive members; (iii) recognized members; and (iv) coaches. The findings also indicated that over the course of four months, learners can inter-change roles of social participation – becoming more central or less central in learning discussions. As a result, a <em>roles of social participation</em> scale for mobile social media learning is proposed. Future research could be conducted in other fields to investigate whether mobile social media could be used to promote learning. </p>

The structure of L2 lexical-semantic networks as seen from a social network perspective

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Xuefang Feng ◽  
Jie Liu
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Semantic Network ◽  
Semantic Networks ◽  
Analysis Tool ◽  
Semantic Fluency ◽  
Efl Learners ◽  
Lexical Semantic ◽  
Fluency Task

Abstract This study employed a social network analysis tool to investigate the organization of L2 lexical-semantic networks. A total of 49 Chines EFL learners of English completed a semantic fluency task in English. A lexical-semantic network was established on the data collected from the semantic fluency task. We conducted a CONCOR analysis to distinguish the central words from the peripheral ones in the lexical-semantic network. The relevance of three distributional features to the centrality of the words in the L2 lexical-semantic network was examined respectively. In addition, we analyzed the general explanatory effect of each of the three features on centrality. The results based on the distributional features are significantly correlational and report positive explanatory effects. In addition, words of similar distributional features were found to connect in a way that reflects semantic feature effects. Finally, theoretical, methodological, and pedagogical implications of the findings were discussed.

scholarly journals Using Social Network Analysis to Strengthen Organizational Relationships to Better Serve Expectant and Parenting Young People

2020 ◽  
Vol 24 (S2) ◽  
pp. 232-242 ◽  
Author(s):  
Amanda Purington ◽  
Erica Stupp ◽  
Dora Welker ◽  
Jane Powers ◽  
Mousumi Banikya-Leaseburg
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Young People ◽  
Service Providers ◽  
Lessons Learned ◽  
Local Network ◽  
Analysis Tool ◽  
Survey Analysis ◽  
Young Parents

Abstract Introduction Expectant and parenting young people (young parents) need a range of supports but may have difficulty accessing existing resources. An optimally connected network of organizations can help young parents navigate access to available services. Community organizations participating in the Pathways to Success (Pathways) initiative sought to strengthen their network of support for young parents through social network analysis (SNA) undertaken within an action research framework. Method Evaluators and community partners utilized a survey and analysis tool to map and describe the local network of service providers offering resources to young parents. Respondents were asked to characterize their relationship with all other organizations in the network. Following survey analysis, all participants were invited to discuss and interpret the results and plan the next actions to improve the network on behalf of young parents. Results Scores described the diversity of organizations in the network, density of connections across the community, degree to which the network was centralized or decentralized, which organizations were central or outliers, frequency of contact, levels of collaboration, and levels of trust. Findings were interpreted with survey participants and used by Pathways staff for action planning to improve their network. Discussion SNA clarified complex relationships and set service providers on a path toward optimizing their network. The usefulness of SNA to impact and improve a network approach to supporting young parents is discussed, including lessons learned from this project.

scholarly journals A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies

2018 ◽  
Vol 15 (11) ◽  
pp. 2420 ◽  
Author(s):  
José Benítez-Andrades ◽  
Alejandro Rodríguez-González ◽  
Carmen Benavides ◽  
Leticia Sánchez-Valdeón ◽  
Isaías García
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Alcohol Consumption ◽  
Data Gathering ◽  
Semantic Knowledge ◽  
Analysis Tool ◽  
Sensitivity Studies ◽  
Representation Techniques ◽  
Scenario Testing

Social Network Analysis (SNA) is a set of techniques developed in the field of social and behavioral sciences research, in order to characterize and study the social relationships that are established among a set of individuals. When building a social network for performing an SNA analysis, an initial process of data gathering is achieved in order to extract the characteristics of the individuals and their relationships. This is usually done by completing a questionnaire containing different types of questions that will be later used to obtain the SNA measures needed to perform the study. There are, then, a great number of different possible network-generating questions and also many possibilities for mapping the responses to the corresponding characteristics and relationships. Many variations may be introduced into these questions (the way they are posed, the weights given to each of the responses, etc.) that may have an effect on the resulting networks. All these different variations are difficult to achieve manually, because the process is time-consuming and error-prone. The tool described in this paper uses semantic knowledge representation techniques in order to facilitate this kind of sensitivity studies. The base of the tool is a conceptual structure, called “ontology” that is able to represent the different concepts and their definitions. The tool is compared to other similar ones, and the advantages of the approach are highlighted, giving some particular examples from an ongoing SNA study about alcohol consumption habits in adolescents.

scholarly journals A Social Network Analysis Tool for Uncovering Cybersecurity Threats

2019 ◽  
Author(s):  
Vasileios Vlachos ◽  
Yannis C. Stamatiou ◽  
Pantelis Tzamalis ◽  
Sotiris Nikoletseas ◽  
Kyriaki Chantzi
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Tool

scholarly journals Assessing Governments’ Emergency Responses to COVID-19 Outbreak Using a Social Network Analysis (SNA)

2020 ◽  
Author(s):  
Wignyo Adiyoso
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Local Governments ◽  
Task Force ◽  
Analysis Tool ◽  
Team Members ◽  
Cultural Aspects ◽  
Emergency Responses

<p>This study aims to assess organisational emergency responses to COVID-19 from a social network analysis (SNA) perspective. This is the first study to evaluate the government's emergency response to COVID-19.</p><p><br></p><p>Study design used content analyse focused on the Indonesia Taskforce Response to COVID-19. Taskforce members identified and analysed were 150 people. Data were obtained from a weekly Indonesian magazine, TEMPO, which reported on the government's response to COVID-19 from early March to early April 2020. Data analysis used a Social Network Analysis tool.</p><p><br></p><p>The study found that the emergency response to a COVID-19 consisted of less solid, non-traditional structural interactions, and that the head of the task force played a lesser role in the response to such an outbreak. The dynamic roles of actors and their relationships within the group reflect the weaknesses of the organisational emergency response to COVID-19. Cultural aspects, the overlapping of regulations and the lack of communication between central and local governments may have contributed to the lack of cohesion in the organisational response. The content analysis found that the issues of concern to the team members included coordination, hoax, social distancing and the lack of testing equipment. </p><p><br></p><p>The results of the study are expected to add literatures of research on emergency response to pandemics. This study can assist decision makers and practitioners to design and manage cooperation amongst actors and their networks in future emergency response systems.</p>

scholarly journals Assessing Governments’ Emergency Responses to COVID-19 Outbreak Using a Social Network Analysis (SNA)

2020 ◽  
Author(s):  
Wignyo Adiyoso
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Local Governments ◽  
Task Force ◽  
Analysis Tool ◽  
Team Members ◽  
Cultural Aspects ◽  
Emergency Responses

<p>This study aims to assess organisational emergency responses to COVID-19 from a social network analysis (SNA) perspective. This is the first study to evaluate the government's emergency response to COVID-19.</p><p><br></p><p>Study design used content analyse focused on the Indonesia Taskforce Response to COVID-19. Taskforce members identified and analysed were 150 people. Data were obtained from a weekly Indonesian magazine, TEMPO, which reported on the government's response to COVID-19 from early March to early April 2020. Data analysis used a Social Network Analysis tool.</p><p><br></p><p>The study found that the emergency response to a COVID-19 consisted of less solid, non-traditional structural interactions, and that the head of the task force played a lesser role in the response to such an outbreak. The dynamic roles of actors and their relationships within the group reflect the weaknesses of the organisational emergency response to COVID-19. Cultural aspects, the overlapping of regulations and the lack of communication between central and local governments may have contributed to the lack of cohesion in the organisational response. The content analysis found that the issues of concern to the team members included coordination, hoax, social distancing and the lack of testing equipment. </p><p><br></p><p>The results of the study are expected to add literatures of research on emergency response to pandemics. This study can assist decision makers and practitioners to design and manage cooperation amongst actors and their networks in future emergency response systems.</p>

Social Network Analysis as a Tool for Knowledge Management for Innovation

2010 ◽  
pp. 95-119 ◽  
Author(s):  
Claire Gubbins ◽  
Lawrence Dooley
Keyword(s):  
Social Networks ◽  
Knowledge Management ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Large Scale ◽  
Social Process ◽  
Innovation Process ◽  
Analysis Tool ◽  
Competitive Edge

In today’s changing environment, the competitiveness and sustainability of a modern organisation, be they global large scale enterprises (LSE’s) or local small to medium scale enterprises (SME’s), depends on its ability to innovate. Innovation can be viewed as the combined activity of generating creative ideas and the subsequent successful exploitation of these concepts for benefit. Access to relevant and up to date information provides a critical competitive edge for organisations innovation efforts. Given that social relationships are key to enhancing the ability to gather knowledge and that creation of knowledge is primarily a social process among individuals, organisations’ need to optimise the supporting mechanisms by which its people and processes accumulate, structure, and transfer knowledge effectively. Mechanisms such as social networks promote both organisational and collective learning and participation in these social networks are a significant source of knowledge, which subsequently leads to innovation. Consequently, this chapter will outline the innovation process with its knowledge management phases and extrapolate the role of social networks in this process. It will then outline the steps of the social network analysis tool and illustrate how it can be used to enhance knowledge management for innovation efforts.

Sign in / Sign up

Export Citation Format

Share Document