scholarly journals Eliciting data on social relationships: The use of hand-drawn network maps in tracing the perception of digitally mediated social ties

2016 ◽  
Vol 6 (4) ◽  
pp. 256-268 ◽  
Author(s):  
Cornelia Reyes
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Methodological Approach ◽  
Methodological Framework ◽  
Recall Data ◽  
The Impact ◽  
Convincing Data

Abstract The emergence of online social networking platforms established a new way of identifying ourselves as being related to other individuals. Previous research has looked at the impact these ‘networking’ applications have on individuals’ everyday lives. Nonetheless, obtaining convincing data on how individuals assess the quality of digitally mediated social relationships has often been perceived challenging. Drawing on a methodological framework rooted in a social network analysis approach, this paper traces the suitability of hand-drawn network maps for eliciting data on how individuals give meaning to digitally mediated social relationships by comparing it to traditional tools used in social network analysis. The results show that using hand-drawn network maps in this particular context provides respondents with a more tangible resource to recall data on digitally mediated social relationships. In particular, this methodological approach elicits substantial data on abstract thematic areas that are typically difficult to recall using standardised techniques.

Towards a new methodological approach to social historiography of translation

2019 ◽  
Vol 8 (2) ◽  
pp. 231-256
Author(s):  
Nasrin Ashrafi ◽  
Mohammad Reza Hashemi ◽  
Hossein Akbari
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Methodological Approach ◽  
Structuration Theory ◽  
Literary Translation ◽  
Analysis Techniques ◽  
The Impact

Abstract In an attempt to appreciate the contribution that social network analysis (SNA) might offer to translation historiography, two main approaches are presented and discussed in this study: explanatory SNA and exploratory SNA. The former is more concerned with SNA measures while the latter deals with three potential narratives of social networks. The aim is to employ SNA in diachronic and synchronic dimensions of literary translation publishing historiography in Iran from 1991 to 2010, a micro-macro framework that seamlessly integrates agents’ relationships, visualization and network analysis techniques to explore the impact of ideological-political shifts on the quantity as well as quality of major agents’ relations. Furthermore, the study attempts to explore how the synergy between Giddens’ Structuration Theory (GST) and SNA can support a deeper and more empirically grounded understanding of translation historiography. The goal of the study is both methodological and scientific. The results of SNA graphical outputs suggest that there is a significant relationship between the structure of relationships in fiction publishing field and the dominant political discourse in Iran.

scholarly journals Exploring Social Relationships in “a Mixed Way”: Mixed Structural Analysis

2020 ◽  
Author(s):  
Dominik Emanuel Froehlich
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Structural Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Mixed Method ◽  
Research Designs ◽  
Additional Input

While the concept of mixed method social network analysis (MMSNA) is gaining in popularity, there is a notable lack of specific mixed research designs that guide the implementation of MMSNA. In this chapter, I draw from qualitative social network analysis, specifically, qualitative structural analysis, and expand it towards a mixed research design. This change, which requires relatively little additional input, fulfills several important purposes at the same time, and hence may be conducive in increasing the overall quality of a study.

scholarly journals A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
José Alberto Benítez-Andrades ◽  
Tania Fernández-Villa ◽  
Carmen Benavides ◽  
Andrea Gayubo-Serrenes ◽  
Vicente Martín ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
University Students ◽  
Methodological Approach ◽  
Centrality Measures ◽  
Structural Behaviour ◽  
Cross Sectional ◽  
Depth Analysis ◽  
The University

AbstractThe COVID-19 pandemic has meant that young university students have had to adapt their learning and have a reduced relational context. Adversity contexts build models of human behaviour based on relationships. However, there is a lack of studies that analyse the behaviour of university students based on their social structure in the context of a pandemic. This information could be useful in making decisions on how to plan collective responses to adversities. The Social Network Analysis (SNA) method has been chosen to address this structural perspective. The aim of our research is to describe the structural behaviour of students in university residences during the COVID-19 pandemic with a more in-depth analysis of student leaders. A descriptive cross-sectional study was carried out at one Spanish Public University, León, from 23th October 2020 to 20th November 2020. The participation was of 93 students, from four halls of residence. The data were collected from a database created specifically at the university to "track" contacts in the COVID-19 pandemic, SiVeUle. We applied the SNA for the analysis of the data. The leadership on the university residence was measured using centrality measures. The top leaders were analyzed using the Egonetwork and an assessment of the key players. Students with higher social reputations experience higher levels of pandemic contagion in relation to COVID-19 infection. The results were statistically significant between the centrality in the network and the results of the COVID-19 infection. The most leading students showed a high degree of Betweenness, and three students had the key player structure in the network. Networking behaviour of university students in halls of residence could be related to contagion in the COVID-19 pandemic. This could be described on the basis of aspects of similarities between students, and even leaders connecting the cohabitation sub-networks. In this context, Social Network Analysis could be considered as a methodological approach for future network studies in health emergency contexts.

Social network analysis applications in sustainable construction and built environment management: a review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nandun Madhusanka Hewa Welege ◽  
Wei Pan ◽  
Mohan Kumaraswamy
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Built Environment ◽  
Methodological Approach ◽  
Relevant Literature ◽  
Sustainable Construction ◽  
Centrality Measures ◽  
Environment Management ◽  
Content Type

PurposeApplications of social network analysis (SNA) are evidently popular amongst scholars for mapping stakeholder and other relational networks in improving the sustainability of construction activities and the resulting built environment. Nevertheless, the literature reveals a lack of thorough understanding of optimal SNA applications in this field. Therefore, this paper aims to convey a comprehensive critical review of past applications of SNA in this field.Design/methodology/approach95 relevant journal papers were initially identified from the “Web of Science” database and a bibliometric analysis was carried out using the “VOS Viewer” software. The subsequent in-depth review of the SNA methods, focussed on 24 specifically relevant papers selected from these aforesaid 95 papers.FindingsA significant growth of publications in this field was identified after 2014, especially related to topics on stakeholder management. “Journal of Cleaner Production”, “International Journal of Project Management” and “Sustainability” were identified as the most productive sources in this field, with the majority of publications from China. Interviews and questionnaires were the popular data collection methods while SNA “Centrality” measures were utilised in over 70% of the studies. Furthermore, potential areas were noted, to improve the mapping and thereby provide useful information to managers who could influence relevant networks and consequentially better sustainability outcomes, including those enhanced by collaborative networks.Originality/valueCloser collaboration has been found to help enhance sustainability in construction and built environment, hence attracting research interest amongst scholars on how best to enable this. SNA is established as a significant methodological approach to analysing interrelationships and collaborative potential in general. In a pioneering application here, this paper initiates the drawing together of findings from relevant literature to provide useful insights for future researchers to comprehensively identify, compare and contrast the applications of SNA techniques in construction and built environment management from a sustainability viewpoint.

scholarly journals Scientific collaboration network ammong Brazilian universities

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Maria Isabel Escalona-Fernandez ◽  
Antonio Pulgarin-Guerrero ◽  
Ely Francina Tannuri de Oliveira ◽  
Maria Cláudia Cabrini Gracio
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scientific Collaboration ◽  
Methodological Approach ◽  
Scientific Production ◽  
Collaboration Network ◽  
Network Data ◽  
New Knowledge

This paper analyses the scientific collaboration network formed by the Brazilian universities that investigate in dentistry area. The constructed network is based on the published documents in the Scopus (Elsevier) database covering a period of 10 (ten) years. It is used social network analysis as the best methodological approach to visualize the capacity for collaboration, dissemination and transmission of new knowledge among universities. Cohesion and density of the collaboration network is analyzed, as well as the centrality of the universities as key-actors and the occurrence of subgroups within the network. Data were analyzed using the software UCINET and NetDraw. The number of documents published by each university was used as an indicator of its scientific production.

scholarly journals Pemanfaatan Social Network Analysis (SNA) Untuk Menganalisis Kolaborasi Panitia Pengawas Pilkada Tahun 2020 di Kecamatan Gunungpati Kota Semarang

2021 ◽  
Vol 14 (2) ◽  
pp. 244-255
Author(s):  
Lukman Santoso ◽  
Reni Veliyanti
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
High Category ◽  
Committee Network ◽  
Flow Of Information

The implementation of the 2020 Pilkada in Gunungpati District as a whole has improved in terms of the quality of its implementation. This is the result of the cooperation of all competent parties at the sub-district and village levels. This study aims to analyze the collaboration of the Supervisory Committee for the Election of Governors and Deputy Governors in 2020, Gunungpati District and to understand in depth the flow of information using Social Network Analysis (SNA). The results showed that the overall density of the supervisory committee network was 0.53 or 53%, so the characteristics of the network of members of the Panwaslu Kec.Gunungpati network were in the high category. Panwaslu members with the initials DAP, RV, WPU and M are the most dominant members of the Panwaslu with values of Centrality, Closeness and Betweness Centrality in the network.  

Preparing Trainee Translators for the Job Market

2018 ◽  
pp. 137-167
Author(s):  
Bryan J. Robinson ◽  
M. Dolores Olvera-Lobo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Survey ◽  
Interpersonal Relations ◽  
Team Cohesion ◽  
Job Market ◽  
Friendship Relations ◽  
Professional Workplace

Competence-based learning contrasts radically with content-focused education. Today's undergraduate programmes take a multidisciplinary approach that imbues learning with input from the professional workplace. This chapter describes possibly the first social network analysis of trainee translators participating in an intensive, randomised teamwork experience centred on project-based, cooperative learning. An online survey gathered data and perceptions of the teamwork experience and of interpersonal relations. Participants describe friendship relations, the quality of their peers' performance in professional roles, and their preferences with regard to the roles, and these are contrasted within the teams. These indicators of intra-team cohesion are compared with course-final achievement. Results indicate that the strengthening of friendship ties accompanies greater cohesion in teams and may be associated with higher achievement. This suggests that a multidisciplinary focus on teamwork competences enhances learners' professional prospects.

Social Network Analysis in Marketing

E-Marketing ◽  
2012 ◽  
pp. 185-197
Author(s):  
Przemyslaw Kazienko ◽  
Piotr Doskocz ◽  
Tomasz Kajdanowicz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Network Data ◽  
Social Network Data ◽  
The Social ◽  
Targeted Marketing ◽  
Potential Customers ◽  
Demographic Features

The chapter describes a method how to perform a classification task without any demographic features and based only on the social network data. The concept of such collective classification facilitates to identify potential customers by means of services used or products purchased by the current customers, i.e. classes they belong to as well as using social relationships between the known and potential customers. As a result, a personalized offer can be prepared for the new clients. This innovative marketing method can boost targeted marketing campaigns.

Web Mining and Social Network Analysis

Data Mining ◽  
2013 ◽  
pp. 326-335
Author(s):  
Roberto Marmo
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Web Mining ◽  
Social Network Mining ◽  
Data Mining Algorithms ◽  
Instant Messenger ◽  
Mining Algorithms

Research on social networks has advanced significantly due to wide variety of on-line social websites and very popular Web 2.0 application. Social network analysis views social relationships in terms of network and graph theory about nodes (individual actors within the network) and ties (relationships between the actors). Using web mining techniques and social networks analysis it is possible to process and analyze large amount of social data (such as blogtagging, online game playing, instant messenger etc.) and by this to discover valuable information from data. In this way, we can understand the social structure, social relationships and social behaviors. This new approach is also denoted as social network mining. These algorithms differ from established set of data mining algorithms developed to analyze individual records, because social network datasets are called relational due to centrality of relations among entities. This chapter also sets out a process to apply web mining.

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