Statistical Network Analysis for Analyzing Policy Networks

To analyze social network data using standard statistical approaches is to risk incorrect inference. The dependencies among observations implied in a network conceptualization undermine standard assumptions of the usual general linear models. One of the most quickly expanding areas of social and policy network methodology is the development of statistical modeling approaches that can accommodate such dependent data. In this article, we review three network statistical methods commonly used in the current literature: quadratic assignment procedures, exponential random graph models (ERGMs), and stochastic actor‐oriented models. We focus most attention on ERGMs by providing an illustrative example of a model for a strategic information network within a local government. We draw inferences about the structural role played by individuals recognized as key innovators and conclude that such an approach has much to offer in analyzing the policy process.     

An exploration of regional climate change scenarios for Scotland

Based on a high resolution regional climate model (RCM) experiment, a climate change scenario for Scotland for the end of this century is constructed with the aim of exploring the added value of utilising a regional rather than a global model (GCM) for climate change scenario construction. Spatial variations in regional seasonal average temperature and precipitation change are analysed and the local response of ‘extreme’ weather events to climate warming is assessed using daily model output. The analyses suggest that in comparison with the GCM, the RCM does not provide fundamentally different patterns of seasonal climate change and daily weather response over Scotland, although it does capture more subtle spatial variations in these changes. The RCM also simulates more realistic daily weather events than the GCM, although the relative changes in the frequencies of daily extremes are not greatly different. However, with the limited length of the single model simulation analysed here, it is not easy to establish how robust and significant are the sub‐national patterns of climate response across Scotland. To improve the quality and comprehensiveness of regional climate change scenario information, a number of research issues remain to be addressed.     

Feminism and the Spaces of Transformation

Feminist political theory draws on particular spatial imaginations in elaborating a politics of transformation. This paper establishes this in relation to two familiar accounts of feminist transformation – those of Judith Butler and Luce Irigaray. Respectively I read their work as suggesting that transformation of gender relations takes the form of ubiquitous revolution, taking place everywhere, or a distant dream of an (im)possible future – elsewhere. The paper then turns to discuss the work of Julia Kristeva, often dismissed as not feminist and conservative. I read her work politically, within the frame of feminist theory. She offers a different, heterogeneous account of transformation, as both possible in the present and also limited by the existence and need for social and symbolic orders. In exploring the heterogeneous spatial imagination of her work, the paper suggests that the spatialities of abjection are diverse and productive. Abjection is not simply about devising territories and borders. Moreover, dominant spatialities cannot be described as simply masculine. Finally, drawing links with Lefebvre's account of representational spaces, I argue that Kristeva's work can be extended to inform our understanding of how spaces themselves can be transformed.