Keeping People ‘In the Tent’: Governance in the New Zealand Outdoor Activity Sector

The purpose of this research was to examine governance in the New Zealand outdoor activity sector. We conducted 35 interviews with key personnel from organisations with responsibility for national co-ordination, education, and membership services. Using Brandsen and Pestoff’s (Public Manag Rev 8(4):493–501, 2006) co-processes framework, we describe and analyse governance of the outdoor sector. In so doing, we provide insight into the challenges facing this complex sector with regard to funding and stakeholder relationships, programme delivery, and personality conflicts. We also contribute by highlighting some of the shortcomings of the co-processes model, and offer constructively critical insights for its development.     

Closure,connectivity and degree distributions: Exponential random graph (p*) models for directed social networks

The new higher order specifications for exponential random graph models introduced by Snijders et al. [Snijders, T.A.B., Pattison, P.E., Robins G.L., Handcock, M., 2006. New specifications for exponential random graph models. Sociological Methodology 36, 99–153] exhibit substantial improvements in model fit compared with the commonly used Markov random graph models. Snijders et al., however, concentrated on non-directed graphs, with only limited extensions to directed graphs. In particular, they presented a transitive closure parameter based on path shortening. In this paper, we explain the theoretical and empirical advantages in generalizing to additional closure effects. We propose three new triadic-based parameters to represent different versions of triadic closure: cyclic effects; transitivity based on shared choices of partners; and transitivity based on shared popularity. We interpret the last two effects as forms of structural homophily, where ties emerge because nodes share a form of localized structural equivalence. We show that, for some datasets, the path shortening parameter is insufficient for practical modeling, whereas the structural homophily parameters can produce useful models with distinctive interpretations. We also introduce corresponding lower order effects for multiple two-path connectivity. We show by example that the in- and out-degree distributions may be better modeled when star-based parameters are supplemented with parameters for the number of isolated nodes, sources (nodes with zero in-degrees) and sinks (nodes with zero out-degrees). Inclusion of a Markov mixed star parameter may also help model the correlation between in- and out-degrees. We select some 50 graph features to be investigated in goodness of fit diagnostics, covering a variety of important network properties including density, reciprocity, geodesic distributions, degree distributions, and various forms of closure. As empirical illustrations, we develop models for two sets of organizational network data: a trust network within a training group, and a work difficulty network within a government instrumentality.     

Reflections on the absence of formal reflection in public relations education and practice

This content analysis is a part of wider research into the value of reflective practice in public relations education and practice. Examination of this topic is important given that reflective practice is widely recognised as an essential element for claims of professionalism (Dewey, 1933; Schön, 1983, 1987), and professionalism remains an elusive goal for PR practitioners (L’Etang, 2009). This article examines the extent to which the terms and processes associated with reflective practice are formally included in the contents of a range of widely used and well regarded public relations textbooks. The aim is to provide insight into the significance (or lack of it) of reflective practice in contemporary public relations curricula. Given that textbooks are highly influential teaching media that both reflect and shape curricula, conclusions about the emphasis of reflective practice in public relations teaching can be drawn as a result of this analysis. The findings indicate that – based on the content of the textbooks analysed – reflective practice is not formally included in the public relations teaching curriculum. Further research is needed to determine whether this omission also reflects the situation in public relations practice. This research has relevance for public relations educators given that they play a significant role in influencing future generations of public relations professionals. It concludes with a call for a shift in public relations education that includes greater emphasis on reflective practice.     

Networks and geography: Modelling community network structures as the outcome of both spatial and network processes

This paper focuses on how to extend the exponential random graph models to take into account the geographical embeddedness of individuals in modelling social networks. We develop a hierarchical set of nested models for spatially embedded social networks, in which, following Butts (2002), an interaction function between tie probability and Euclidean distance between nodes is introduced. The models are illustrated by an empirical example from a study of the role of social networks in understanding spatial clustering in unemployment in Australia. The analysis suggests that a spatial effect cannot solely explain the emergence of organised network structure and it is necessary to include both spatial and endogenous network effects in the model.     

Autobiographical Notes of a Young-Old European-American Ethnic Social Gerontologist

No abstract available for this article.     

An introduction to exponential random graph (p) models for social networks

This article provides an introductory summary to the formulation and application of exponential random graph models for social networks. The possible ties among nodes of a network are regarded as random variables, and assumptions about dependencies among these random tie variables determine the general form of the exponential random graph model for the network. Examples of different dependence assumptions and their associated models are given, including Bernoulli, dyad-independent and Markov random graph models. The incorporation of actor attributes in social selection models is also reviewed. Newer, more complex dependence assumptions are briefly outlined. Estimation procedures are discussed, including new methods for Monte Carlo maximum likelihood estimation. We foreshadow the discussion taken up in other papers in this special edition: that the homogeneous Markov random graph models of Frank and Strauss [Frank, O., Strauss, D., 1986. Markov graphs. Journal of the American Statistical Association 81, 832–842] are not appropriate for many observed networks, whereas the new model specifications of Snijders et al. [Snijders, T.A.B., Pattison, P., Robins, G.L., Handock, M. New specifications for exponential random graph models. Sociological Methodology, in press] offer substantial improvement.