A Relational Hyperlink Analysis of an Online Social Movement

In this paper we propose relational hyperlink analysis (RHA) as a distinct approach for empirical social science research into hyperlink networks on the World Wide Web. We demonstrate this approach, which employs the ideas and techniques of social network analysis (in particular, exponential random graph modeling), in a study of the hyperlinking behaviors of Australian asylum advocacy groups. We show that compared with the commonly-used hyperlink counts regression approach, relational hyperlink analysis can lead to fundamentally different conclusions about the social processes underpinning hyperlinking behavior. In particular, in trying to understand why social ties are formed, counts regressions may over-estimate the role of actor attributes in the formation of hyperlinks when endogenous, purely structural network effects are not taken into account. Our analysis involves an innovative joint use of two software programs: VOSON, for the automated retrieval and processing of considerable quantities of hyperlink data, and LPNet, for the statistical modeling of social network data. Together, VOSON and LPNet enable new and unique research into social networks in the online world, and our paper highlights the importance of complementary research tools for social science research into the web

The application of social network analysis to team sports

This article reviews how current social network analysis might be used to investigate individual and group behavior in sporting teams. Social network analysis methods permit researchers to explore social relations between team members and their individual-level qualities simultaneously. As such, social network analysis can be seen as augmenting existing approaches for the examination of intra-group relations among teams and provide detail of team members\u27 informal connections to others within the team. Social network analysis is useful in addressing the issue of interdependencies in the data inherent in team structures. Social network terms are introduced and explained by way of an example team, software and resources are discussed, and a statistical approach to social network analysis is introduced. <br /

Invisible Iterations: How Formal and Informal Organization Shape Knowledge Networks for Coordination

AbstractThis study takes a network approach to investigate coordination among knowledge workers as grounded in both formal and informal organization. We first derive hypotheses regarding patterns of knowledge‐sharing relationships by which workers pass on and exchange tacit and codified knowledge within and across organizational hierarchies to address the challenges that underpin contemporary knowledge work. We use survey data and apply exponential random graph models to test our hypotheses. We then extend the quantitative network analysis with insights from qualitative interviews and demonstrate that the identified knowledge‐sharing patterns are the micro‐foundational traces of collective coordination resulting from two underlying coordination mechanisms which we label ‘invisible iterations’ and ‘bringing in the big guns’. These mechanisms and, by extension, the associated knowledge‐sharing patterns enable knowledge workers to perform in a setting that is characterized by complexity, uncertainty and ambiguity. Our research contributes to theory on the interplay between formal and informal organization for coordination by showing how self‐directed, informal action is supported by the formal organizational hierarchy. In doing so, it also extends understanding of the role that hierarchy plays for knowledge‐intensive work. Finally, it establishes the collective need to coordinate work as a previously overlooked driver of knowledge network relationships and network patterns.</jats:p

Network failure: Biotechnology firms, clusters and collaborations far from the world superclusters

This article traces the trajectory of biotechnology firms, clusters and collaborations in Australia between 2003 and 2014. Combining descriptive analyses, network visualizations and statistical modelling of longitudinal data collected from multiple sources, we investigate Australian firms’ ability to overcome the three challenges characterizing biotechnology: first, accessing new knowledge and intellectual property; second, raising early-stage funding for timely product development; and third, bringing products to market. Like biotechnology firms worldwide, Australian firms adopt a network approach to success, relying on different types of collaborative ties with diverse partners to access complementary resources and facilitate learning and innovation. The aspiration here is a virtuous cycle, where networks promote innovation and innovation promotes networks, as occurs in the world superclusters. In contrast, our analyses show that the collaborations of Australian biotechnology firms produce not so much a virtuous cycle, as a dead end. Specifically, local collaborations with public research organizations generate network effects in meeting the challenges of new knowledge and early-stage funding, but do not extend to the challenge of bringing products to market. We link this 'network failure' to the limitations of public research organizations as anchor tenants with the capability to catalyze collaborations with distant partner organizations directed towards commercialization, in particular giant multinational pharmaceutical corporations. Our study enriches the substantial literature on networked innovation, which is biased towards celebrating the benefits of networks and collaborations for innovation and performance, particularly in biotechnology

Participation-performance tension and gender affect recreational sports clubs’ engagement with children and young people with diverse backgrounds and abilities

<div><p>Sport participation has been shown to be associated with health and social benefits. However, there are persisting inequities and barriers to sport participation that can prevent children and young people with diverse backgrounds and abilities from accessing these benefits. This mixed methods study investigated how diversity is understood, experienced and managed in junior sport. The study combined in-depth interviews (n = 101), surveys (n = 450) and observations over a three-year period. The results revealed that a focus on performance and competitiveness negatively affected junior sports clubs’ commitment to diversity and inclusive participation. Gender and a range of attitudes about diversity were also strongly related. On average, we found that those who identified as men were more likely to support a pro-performance stance, be homophobic, endorse stricter gender roles, and endorse violence as a natural masculine trait. In addition, those who identified as men were less likely to hold pro-disability attitudes. These findings suggest that the participation-performance tension and gender affect to what extent, and how, sports clubs engage children and young people with diverse backgrounds and abilities.</p></div

Networked international politics

Network theory and methods are becoming increasingly used to study the causes and consequences of conflict. Network analysis allows researchers to develop a better understanding of the causal dynamics and structural geometry of the complex web of interdependencies at work in the onset, incidence, and diffusion of conflict and peace. This issue features new theoretical and empirical research demonstrating how properly accounting for networked interdependencies has profound implications for our understanding of the processes thought to be responsible for the conflict behavior of state and non-state actors. The contributors examine the variation in networks of states and transnational actors to explain outcomes related to international conflict and peace. They highlight how networked interdependencies affect conflict and cooperation in a broad range of areas at the center of international relations scholarship. It is helpful to distinguish between three uses of networks, namely: (1) as theoretical tools, (2) as measurement tools, and (3) as inferential tools. The introduction discusses each of these uses and shows how the contributions rely on one or several of them. Next, Monte Carlo simulations are used to illustrate one of the strengths of network analysis, namely that it helps researchers avoid biased inferences when the data generating process underlying the observed data contains extradyadic interdependencies. </jats:p

Diversity work in community sport organizations: Commitment, resistance and institutional change

Diversity is a key term used in a range of public and private organizations to describe institutional goals, values and practices. Sport is a prominent social institution where the language of diversity is frequently and positively used; yet, this rhetoric does not necessarily translate into actual practice within sport organizations. This paper critically examines diversity work in community sports clubs. Drawing upon qualitative research at 31 amateur sports clubs in Australia, the findings show that diversity work in community sport organizations is often haphazard and accidental, rather than a strategic response or adaptation to policy. This paper concludes that while individual champions are critical to the promotion of diversity, persistent tensions and resistance arise when they seek to translate the language of diversity into institutional practice and culture change