Understanding the Greek Family in Australia

1978 ◽  
Vol 3 (1) ◽  
pp. 24-37
Author(s):  
Loula Rodopoulos
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Family Functioning ◽  
Relevant Literature ◽  
Immigrant Families ◽  
Host Community ◽  
Helping Professions ◽  
Research Findings

AbstractThis paper reviews the relevant literature and attempts to highlight the implications of the research findings of Social Network Analysis for understanding the Greek family in Australia, with particular emphasis on its relevance for practitioners in the “helping” professions.The author is concerned with the paucity of information available to practitioners in the field in the variety of settings where immigrant families seek personal help, and believes that the lack of such information lends itself to reinforcing, rather than eliminating, stereotypes and to inappropriate intervention in the lives of Greek immigrant families. The paper also highlights the need to understand Greek immigrant families within the context of the host community and to consider factors with regard to family functioning, that are common to all families.

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.

Finding Automated (Bot, Sensor) or Semi-Automated (Cyborg) Social Media Accounts Using Network Analysis and NodeXL Basic

2017 ◽  
pp. 383-424 ◽  
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Question ◽  
Other Information ◽  
The Face ◽  
Research Findings ◽  
Levels Of Automation ◽  
Information Streams

Various research findings suggest that humans often mistake social robot (‘bot) accounts for human in a microblogging context. The core research question here asks whether the use of social network analysis may help identify whether a social media account is fully automated, semi-automated, or fully human (embodied personhood)—in the contexts of Twitter and Wikipedia. Three hypotheses are considered: that automated social media account networks will have less diversity and less heterophily; that automated social media accounts will tend to have a botnet social structure, and that cyborg accounts will have select features of human- and robot- social media accounts. The findings suggest limited ability to differentiate the levels of automation in a social media account based solely on social network analysis alone in the face of a determined and semi-sophisticated adversary given the ease of network account sock-puppetry but does suggest some effective detection approaches in combination with other information streams.

Scholarly Influence Research (SIR)

2012 ◽  
Vol 2 (1) ◽  
pp. 17-31 ◽  
Author(s):  
Hirotoshi Takeda ◽  
Duane P. Truex ◽  
Michael J. Cuellar ◽  
Richard Vidgen
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Influence ◽  
The Social ◽  
Scholarly Influence ◽  
Research Findings ◽  
Publication Counts ◽  
Definition Of ◽  
Ideational Influence

Following previous research findings, this paper argues that the currently predominant method of evaluating scholar performance - publication counts in “quality” journals - is flawed due to the subjectivity inherent in the generation of the list of approved journals and absence of a definition of quality. Truex, Cuellar, and Takeda (2009) improved on this method by substituting a measurement of “influence” using the Hirsch statistics to measure ideational influence. Since the h-family statistics are a measure of productivity and the uptake of a scholar’s ideas expressed in publications, this methodology privileges the uptake of a scholar’s ideas over the venue of publication. Influence is built through other means than by having one’s papers read and cited. The interaction between scholars resulting in co-authored papers is another way to build scholarly influence. This aspect of scholarly influence, which the authors term social influence, can be assessed by Social Network Analysis (SNA) metrics that examine the nature and strength of coauthoring networks among IS Scholars. The paper demonstrates the method of assessing social influence by analysis of the social network of AMCIS scholars and compares the results of this analysis with other co-authorship networks from the ECIS and ICIS communities.

scholarly journals A social network analysis of internally displaced communities in northeast Nigeria: potential conflicts with host communities in the Lake Chad region

GeoJournal ◽  
2021 ◽  
Author(s):  
Frederic Noel Kamta ◽  
Jürgen Scheffran
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Host Community ◽  
Lake Chad ◽  
Internally Displaced ◽  
Closed Networks ◽  
Region Data ◽  
The Government ◽  
Northeast Nigeria

AbstractIn this study, we aim to analyze social networks in which internally displaced persons (IDPs) are involved in northeast Nigeria, after they have been displaced by the insurgency of the Boko Haram group. While IDPs usually resettle in camps operated by the government, contacts with host communities are common. We further analyze the potential that such contacts may lead to conflicts between IDPs and their host communities in the Lake Chad region. Data for this study were collected by interviewing IDPs in the Bakassi IDP camp in Maiduguri and by interviewing members of the host community in Maiduguri in close proximity to the Bakassi IDP camp. A Social Network Analysis approach was used to analyze the data, by constructing social network graphs and computing network attributes, mainly the betweenness centrality of actors. The results of the study show on the one hand a mixture of friendly and conflicting relationships between IDPs and the host community from the IDPs’ perspective, and on the other hand, only few contacts between members of the host community and IDPs in the Bakassi IDP camp, from the host community's perspective. The analysis suggests that in the context of conflict present in the Lake Chad region, IDPs and members of the host community mainly use closed networks, to keep available resources and economic opportunities within their communities. We recommend a better service delivery to IDPs but also to members of the host communities who feel neglected as more attention is given to IDPs with the distribution of humanitarian aid.

Finding Automated (Bot, Sensor) or Semi-Automated (Cyborg) Social Media Accounts Using Network Analysis and NodeXL Basic

2020 ◽  
pp. 1250-1289
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Question ◽  
Other Information ◽  
The Face ◽  
Research Findings ◽  
Levels Of Automation ◽  
Information Streams

Various research findings suggest that humans often mistake social robot (‘bot) accounts for human in a microblogging context. The core research question here asks whether the use of social network analysis may help identify whether a social media account is fully automated, semi-automated, or fully human (embodied personhood)—in the contexts of Twitter and Wikipedia. Three hypotheses are considered: that automated social media account networks will have less diversity and less heterophily; that automated social media accounts will tend to have a botnet social structure, and that cyborg accounts will have select features of human- and robot- social media accounts. The findings suggest limited ability to differentiate the levels of automation in a social media account based solely on social network analysis alone in the face of a determined and semi-sophisticated adversary given the ease of network account sock-puppetry but does suggest some effective detection approaches in combination with other information streams.

Social network analysis and the internationalization of SMEs

2015 ◽  
Vol 27 (6) ◽  
pp. 554-572 ◽  
Author(s):  
José Carlos Pinho ◽  
Miguel Linhares Pinheiro
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Methodological Approach ◽  
Relevant Literature ◽  
Illustrative Case ◽  
Content Type ◽  
Complex Interactions ◽  
Multiple Case

Purpose – This paper highlights the relevance of using social network analysis (SNA) as a different methodological approach to understand the numerous complex interactions that take place within the internationalization process. Design/methodology/approach – The paper is divided into three major sections: First, it identifies relevant articles on social networks published in appropriate academic journals; second, the process leading to SNA is presented; third, an illustrative case is described to show the relevance of SNA within the context of international business. Findings – Drawing on relevant literature, the authors found that most studies in the field of social networks and internationalization rely on conventional research methods based on qualitative (e.g. multiple case studies) or quantitative studies (e.g. surveys). Without questioning the relevance of these methods, the authors claim that very few studies have used the SNA methodology, which is based on a sociometric approach addressing the interactional dynamics embedded in international relationships. Originality/value – Specifically, this paper attempts to analyze the major advantages and shortcomings of the SNA methodology, which may be useful to understand interactional (or relational) effects associated with an internationalization strategy.

Of Leaders and Leadership Through Emotions

2019 ◽  
pp. 88-108
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
The Self ◽  
Leadership Traits ◽  
Emotional Labour ◽  
Work Related ◽  
Social Settings ◽  
Huge Impact ◽  
Research Findings

In this chapter, the authors explore leadership and its relation to emotion. While looking at who is a leader, they present the basics around the concept of emotional intelligence, and its huge impact in the last decades. Research findings will be presented to highlight fundamental characteristics of leaders, such as mindfulness, the ability to manage emotions of the self and the others, empathy, as well as social skills, intended as the ability to handle relationships, in group and social settings. Furthermore, they introduce the concept of emotional labour, which consists of a range of work-related emotions, and the four Cs theory that suggests we should appreciate emotions according to context, challenges, communication, and community. Lastly, the authors present models and processes to measure leadership traits, such as performing a social network analysis or a personality test.

Sign in / Sign up

Export Citation Format

Share Document