Studying Discourse as Social Interaction: The Potential of Social Network Analysis for Discourse Studies

2018 ◽  
Vol 47 (6) ◽  
pp. 375-383 ◽  
Author(s):  
Christopher J. Wagner ◽  
María González-Howard
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Classroom Discourse ◽  
Learning Opportunities ◽  
Social Phenomenon ◽  
Novel Approach ◽  
Discourse Studies ◽  
Classroom Structures

Education researchers have extensively studied classroom discourse as a way to understand classroom structures and learning. This article proposes the use of social network analysis (SNA) as a method for discourse studies in education. SNA enables us to learn about the connections between persons and the patterns of relations within groups. This presents a novel approach to the study of discourse that may more accurately reflect current understandings of discourse as a social phenomenon. This article explains the theoretical links between SNA and the concept of discourse in education and then considers how SNA can be used to examine classroom discourse. A brief overview of promising methods is presented to provide examples of how SNA can be applied to discourse data. This article argues that continued exploration and applications of SNA could yield more complex understandings of the role of discourse in learning opportunities and outcomes.

Aspects of Various Community Detection Algorithms in Social Network Analysis

2019 ◽  
pp. 327-341
Author(s):  
Nicole Belinda Dillen ◽  
Aruna Chakraborty
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Community Detection ◽  
Overlapping Community Detection ◽  
Detection Algorithms ◽  
Novel Approach ◽  
Recent Developments ◽  
Overlapping Community ◽  
Related Individuals

One of the most important aspects of social network analysis is community detection, which is used to categorize related individuals in a social network into groups or communities. The approach is quite similar to graph partitioning, and in fact, most detection algorithms rely on concepts from graph theory and sociology. The aim of this chapter is to aid a novice in the field of community detection by providing a wider perspective on some of the different detection algorithms available, including the more recent developments in this field. Five popular algorithms have been studied and explained, and a recent novel approach that was proposed by the authors has also been included. The chapter concludes by highlighting areas suitable for further research, specifically targeting overlapping community detection algorithms.

The role of perceived bullying norms in friendship dynamics: An examination of friendship selection and influence on bullying and victimization

2019 ◽  
pp. 016502541986853
Author(s):  
Huiyoung Shin
Keyword(s):  
Elementary Schools ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Sixth Grade ◽  
Peer Nominations ◽  
Moderating Role ◽  
Over Time ◽  
Friendship Selection

The current study examined whether youth’s perceived bullying norms play a role in friendship dynamics related to bullying and victimization among the fifth and sixth grade ( N = 736, 52% girls at Wave 1, N = 677, 52% girls at Wave 2) in elementary schools. Youth completed peer nominations (friendship, bullying, and victimization) and a self-reported measure of perceived bullying norms in the classroom. With longitudinal social network analysis (RSiena), this study investigated selection and influence of friends in bullying and victimization as well as the moderating role of perceived bullying norms in these processes. Results indicated that high bullying youth received many friendship nominations and tended to be more influenced by high bullying friends. In addition, highly victimized youth tended to form friendships with highly victimized peers, and youth whose friends are highly victimized became highly victimized themselves over time. As hypothesized, youth’s perceived bullying norms moderated these processes. As youth perceived higher bullying norms, the greater was the tendency for high bullying youth to select high bullying peers as friends and to be influenced by high bullying friends. Likewise, friend influence on victimization was magnified when youth perceived high bullying norms. The current study underscores the importance of youth’s perceived bullying norms in friendship dynamics of bullying and victimization.

scholarly journals The role of social network analysis on participation and placemaking

2017 ◽  
Vol 28 ◽  
pp. 118-126 ◽  
Author(s):  
Laura Alvarez ◽  
Katharina Borsi ◽  
Lucelia Rodrigues
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis

Foregrounding the role of relationships in reform

2015 ◽  
Vol 29 (7) ◽  
pp. 819-837 ◽  
Author(s):  
Yi-Hwa Liou ◽  
Alan J. Daly ◽  
Chris Brown ◽  
Miguel del Fresno
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Educational Leadership ◽  
Network Analysis ◽  
Network Theory ◽  
Social Network Theory ◽  
Future Research ◽  
Social Aspect ◽  
Content Type

Purpose – The role of relationships in the process of leadership and change is central, yet the social aspect of the work of reform is often background in favor of more technical approaches to improvement. Therefore, the purpose of this paper is to argue that social network theory and analysis provides a useful theory and set of tools to unpack the complex social work of leadership. Design/methodology/approach – In this paper the authors begin by reviewing social network theory in education to date. The authors identify strengths and gap areas and use findings and data from existing social network studies of educational leadership to highlight major concepts. Findings – Along with empirical examples, the paper proposes four important strands of social network analysis for future research in educational leadership: multiplex networks; multi-mode networks; longitudinal networks; and real time networks. Originality/value – This paper builds on recent scholarship using social network analysis in educational leadership and suggests that social network theory and methods provides unique and important analytic purchase in the study of educational leadership.

scholarly journals Examining Inter-organizational Network During Emergency Response of Gunungkidul Drought 2019

2020 ◽  
Vol 4 (3) ◽  
pp. 224
Author(s):  
Agung Wicaksono
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Local Governments ◽  
Factors Affecting ◽  
Two Factors ◽  
Drought Disaster ◽  
And Control

Drought is a disaster that often occurs in Gunungkidul Regency, where the condition was exacerbated by the occurrence of a long drought in 2019 (BMKG, 2019). Beside climatic and geological factors, drought is also caused by the involvement of multi-stakeholders, including local governments in managing drought emergency conditions. This research presented a case study on drought disaster management in Gunungkidul in 2019, where qualitative and social network analysis research methods were applied. Social network analysis was used to examine the central actors of the organizations involved in drought management and the role of networks in these levels of government. Meanwhile, qualitative methods were used to explore the factors influencing the network. The results show that the central actors during the emergency response were BPBD, PMI, and PDAM of Gunungkidul Regency. Meanwhile, the role of inter-organizational networks at the district level had been optimized by performing command and control over developments in the situation, involving community organizations and business institutions. Furthermore, on the factors affecting the network, everything had been maximized except two factors that were still lacking, including partnerships and the use of sophisticated information technology.

scholarly journals The provenance of Neo-Babylionian legal documents from ‘Kish’ outside the Ashmolean Museum Collection

1970 ◽  
Vol 24 ◽  
pp. 35-46
Author(s):  
Roman Deiksler
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
First Century ◽  
Museum Collection ◽  
Analysis Method ◽  
Legal Documents ◽  
The Social ◽  
The Town

This article shows the significance of the Social Network Analysis method in the study of Judea in the first century AD. The author presents the method and then shows its application on the example of the role of individual cities of Galilee. The situation concerns the time of the Jewish uprising in Galilee over a period of several months (autumn 66 - July 67 AD). After analyzing the situation in Galilee based on the works of Joseph Flavius, a graph was generated using the Ucinet computer program. The use of SNA in the study of the importance of individual cities in Galilee drew attention to the town of Gamla, which Joseph Flavius considered the most important fortress in this area. In addition, the graph showing the visits of individual insurgents to the cities of Galilee showed that Sepphoris was visited by both supporters and opponents of Joseph Flavius. Despite the fact that the inhabitants supported the Romans, they did not give up any rebel who visited them. The study confirmed the usefulness of the SNA method in undertaking subsequent analyzes of the works of Joseph Flavius.

Do shareholder's independency and board size affect synergies from cross-border bank mergers and acquisitions? International evidence from social network analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheng-Hung Chen ◽  
Feng-Jui Hsu ◽  
Ying-Chen Lai
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Ordinary Least Squares ◽  
Standard Errors ◽  
Board Size ◽  
Content Type ◽  
Cross Border ◽  
The Difference

PurposeThere is little known globally on the association among the independent shareholder, board size and merger and acquisition (M&A) performance. This paper addresses the global issue about cross-border M&A in banking sector, particularly exploring the role of difference in the independent shareholder and board size between acquirer and target banks on synergy gains based on the international study.Design/methodology/approachBased on cross-border bank M&As data on 59 deals from 1995 to 2009, we initially apply social network analysis techniques to explore the country connectedness of the acquirer-target banks in cross-border M&As. Ordinary least squares (OLS) with robust standard errors is further used to investigate synergy gains within the difference in the degree of bank independent shareholder and board sizes between the acquirer and target banks.FindingsOur results indicate that the acquiring banks are generally interconnected with the targeted banks and that some of acquiring banks are clearly concentrated in Asian countries including China, Hong Kong, and Philippines. Moreover, we find that cross-border M&As with larger difference in independent shareholders between the bidder and target bank would result in higher synergy gains in all cases of takeover premiums on 1 day, 1 week and 4 weeks. In addition, financial differences between the bidder and target banks have a significant impact on synergetic gains, a topic not explored in previous studies. There is no evidence that institutional and governance differences between bidder and target bank have significant cross-border impacts on takeover premiums with respect to 1 day, 1 week and 4 weeks, respectively.Originality/valueThis paper contributes to the literature by exploring the international issue about the role of difference in the degree of bank independent shareholder and board sizes between acquirer and target banks on synergy gains. Based on bank cross-border M&As data on 59 deals from 1995 to 2009, we initially apply social network analysis to explore the country connectedness of acquirer-target bank in cross-border M&As, while ten ordinary least squares (OLS) with robust standard errors is used to investigate synergy gains within the difference in the degree of bank independent shareholder and board sizes between acquirer and target banks.

scholarly journals Explaining the Development of Information Security Climate and an Information Security Support Network: A Longitudinal Social Network Analysis

2019 ◽  
Vol 23 ◽  
Author(s):  
Duy Dang-Pham ◽  
Karlheinz Kautz ◽  
Siddhi Pittayachawan ◽  
Vince Bruno
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Security ◽  
Support Network ◽  
Novel Approach ◽  
Individual Cognition ◽  
Climate Perceptions ◽  
Personal Advice ◽  
Practical Recommendations

Behavioural information security (InfoSec) research has studied InfoSec at workplaces through the employees’ perceptions of InfoSec climate, which is determined by observable InfoSec practices performed by their colleagues and direct supervisors. Prior studies have identified the antecedents of a positive InfoSec climate, in particular socialisation through the employees’ discussions of InfoSec-related matters to explain the formation of InfoSec climate based on the employees’ individual cognition. We conceptualise six forms of socialisation as six networks, which comprise employees’ provisions of (1) work advice, (2) organisational updates, (3) personal advice, (4) trust for expertise, (5) InfoSec advice, and (6) InfoSec troubleshooting support. The adoption of a longitudinal social network analysis (SNA), called stochastic actor-oriented modelling (SAOM), enabled us to analyse the changes in the socialising patterns and the InfoSec climate perceptions over time. Consequently, this analysis explains the forming mechanisms of the employees’ InfoSec climate perceptions as well as their socialising process in greater detail. Our findings in relation to the forming mechanisms of InfoSec-related socialisation and InfoSec climate, provide practical recommendations to improve organisational InfoSec. This includes identifying influential employees to diffuse InfoSec knowledge within a workplace. Additionally, this research proposes a novel approach for InfoSec behavioural research through the adoption of SNA methods to study InfoSec-related phenomena.

Sign in / Sign up

Export Citation Format

Share Document