Time-based sampling of social network activity graphs

Author(s):  
Nesreen K. Ahmed ◽  
Fredrick Berchmans ◽  
Jennifer Neville ◽  
Ramana Kompella
2016 ◽  
Vol 42 (6) ◽  
pp. 536-552 ◽  
Author(s):  
Shaista Wasiuzzaman ◽  
Siavash Edalat

Purpose – The vast amount of information available via online social networks (OSN) makes it a very good avenue for understanding human behavior. One of the human characteristics of interest to financial practitioners is an individual’s financial risk tolerance. The purpose of this paper is to look at the relationship between an individual’s OSN behavior and his/her financial risk tolerance. Design/methodology/approach – The study uses data collected from a sample of 220 university students and the backward variables selection ordinary least squares regression analysis technique to achieve its objective. Findings – The results of the study find that the frequency of logging on to social network sites indicates an individual who has higher financial risk tolerance. Additionally, the increasing use of social networks for social connection is found to be associated with lower financial risk tolerance. The results are mostly consistent when the sample is split based on prior financial knowledge. Originality/value – To the authors’ knowledge this is the first study which documents the possibility of understanding an individual’s financial risk tolerance via his/her social network activity. This provides investment/financial consultants with more avenues for gathering information in order to understand their current or potential clients hence providing better services.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joelle Rodway ◽  
Stephen MacGregor ◽  
Alan Daly ◽  
Yi-Hwa Liou ◽  
Susan Yonezawa ◽  
...  

PurposeThe purpose of this paper is two-fold: (1) to offer a conceptual understanding of knowledge brokering from a sociometric point-of-view; and (2) to provide an empirical example of this conceptualization in an education context.Design/methodology/approachWe use social network theory and analysis tools to explore knowledge exchange patterns among a group of teachers, instructional coaches and administrators who are collectively seeking to build increased capacity for effective mathematics instruction. We propose the concept of network activity to measure direct and indirect knowledge brokerage through the use of degree and betweenness centrality measures. Further, we propose network utility—measured by tie multiplexity—as a second key component of effective knowledge brokering.FindingsOur findings suggest significant increases in both direct and indirect knowledge brokering activity across the network over time. Teachers, in particular, emerge as key knowledge brokers within this networked learning community. Importantly, there is also an increase in the number of resources exchanged through network relationships over time; the most active knowledge brokers in this social ecosystem are those individuals who are exchanging multiple forms of knowledge.Originality/valueThis study focuses on knowledge brokering as it presents itself in the relational patterns among educators within a social ecosystem. While it could be that formal organizational roles may encapsulate knowledge brokering across physical structures with an education system (e.g. between schools and central offices), these individuals are not necessarily the people who are most effectively brokering knowledge across actors within the broader social network.


2019 ◽  
Vol 32 (2) ◽  
pp. 508-530 ◽  
Author(s):  
Joseph Phiri ◽  
Pinar Guven-Uslu

Purpose The purpose of this paper is to investigate institutions of accountability in Zambia in order to understand how social networks may influence such institutions not to discharge their mandates as expected from time to time. The study equally seeks to explore how social networks may perpetuate corrupt activities and compromise the functioning of institutions of accountability. Design/methodology/approach The conceptual framework adopted in this study draws on insights from social network theory (SNT) and Bourdieu’s ideas of capital to devise a critical lens for investigating network activity and its influence on the functioning of institutions of accountability. Qualitative data were collected through semi-structured interviews with respondents drawn from different institutions of accountability. Social network analysis was conducted through content analysis. Findings Research findings highlight the presence of networks of a corrupt nature operating within government structures and some institutions of accountability. Manifested in the form of systemic and familial archetypes, these networks appear to be championed and propelled by senior government officials like controlling officers and other actors of a political nature including ministers and presidents. Most of these corrupt activities are organised through brokerage mechanisms that interface internal and external networks. Research limitations/implications Due to the clandestine nature of corruption activities, however, the study was unable to determine measures of centrality and density since these details were not forthcoming during interviews. Such information could only become available if willing individuals involved in corruption could be identified so that they explain who they conduct their corruption with together with the number of connections involved and the most influential individuals in those networks. Social implications This study helps us to understand that activities of a corrupt nature are often undertaken through well-connected groups and networks that make it difficult for institutions of accountability to detect and untangle such activity. The study also suggests that accountants and other accountability actors may have forgotten that accounting is not just a technical discourse for enhancing one’s economic status but is an ethical profession as well. There is a great need to put institutions in place which should hold everyone, including the president and ministers, accountable to the Zambian people in the light of wrongdoing. Dismantling the corrupt network activities inferred from the data entails a complete top-down change in systems of politics, governance, wealth distribution and social values. Originality/value This study contributes towards filling the gap of undertaking accounting research of a critical nature focussed on African contexts (Rahaman, 2010). The paper is equally an attempt at providing empirical flesh to Laughlin’s (1991) framework on organisational transformations through complementing that framework with SNT. The study is also among the first to draw on the experiences and insights of actors working within institutions of accountability to highlight accountability challenges within an African context.


2014 ◽  
Vol 41 (4) ◽  
pp. 321-335 ◽  
Author(s):  
Philip Haynes ◽  
Laura Banks ◽  
Michael Hill

Purpose – The purpose of this paper is to examine the relationship between employment and social network membership in a secondary data set of European citizens aged 50-69 years. Design/methodology/approach – A subsample of the International Social Survey Programme (ISSP) covering 13 European countries is analysed. Principal components analysis is used to reduce numerous social network characteristics to core elements than can be compared with country of origin, sex and employment status. A logistic regression is used to determine involvement in a community organisation. The independent variables are country of residence, age, sex and employment status. Findings – Those employed were more likely to participate in a community organisation and to have a greater number of friends. Employment status did not affect the amount of family contact. Being employed was found to increase the chances of an individual being involved in a community organisation, but for many respondents, their country of origin had a great influence on the probability of not being involved. Research limitations/implications – The ISSP provided no data on subjective health status and so it was not possible to control for the influence of poor health on employment and social network status. The limitations of sample weighting are discussed. Practical implications – There is evidence from this research that continued employment in late middle age and early old age increases advantageous social network contacts. Originality/value – This research challenges some previous research that suggested employment in old age might reduce social network activity.


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