AGWAN: A Generative Model for Labelled, Weighted Graphs

Real-world graphs or networks tend to exhibit a well-known set of properties, such as heavy-tailed degree distributions, clustering and community formation. Much effort has been directed into creating realistic and tractable models for unlabelled graphs, which has yielded insights into graph structure and evolution. Recently, attention has moved to creating models for labelled graphs: many real-world graphs are labelled with both discrete and numeric attributes. In this paper, we present AGWAN (Attribute Graphs: Weighted and Numeric), a generative model for random graphs with discrete labels and weighted edges. The model is easily generalised to edges labelled with an arbitrary number of numeric attributes. We include algorithms for fitting the parameters of the AGWAN model to real-world graphs and for generating random graphs from the model. Using the Enron “who communicates with whom” social graph, we compare our approach to state-of-the-art random labelled graph generators and draw conclusions about the contribution of discrete vertex labels and edge weights to the structure of real-world graphs.

AGWAN: A Generative Model for Labelled, Weighted Graphs

Real-world graphs or networks tend to exhibit a well-known set of properties, such as heavy-tailed degree distributions, clustering and community formation. Much effort has been directed into creating realistic and tractable models for unlabelled graphs, which has yielded insights into graph structure and evolution. Recently, attention has moved to creating models for labelled graphs: many real-world graphs are labelled with both discrete and numeric attributes. In this paper, we presentAgwan (Attribute Graphs: Weighted and Numeric), a generative model for random graphs with discrete labels and weighted edges. The model is easily generalised to edges labelled with an arbitrary number of numeric attributes. We include algorithms for fitting the parameters of the Agwanmodel to real-world graphs and for generating random graphs from the model. Using real-world directed and undirected graphs as input, we compare our approach to state-of-the-art random labelled graph generators and draw conclusions about the contribution of discrete vertex labels and edge weights to graph structure.

Mining Money: the generative capacities of scientific and legal knowledge practices in the making of resource economies

In 1997 a scandal associated with Bre-X, a junior mining firm, and its prospecting activities in Indonesia, exposed to public scrutiny the ways in which mineral exploration firms acquire, assess and report on scientific claims about the natural environment. At stake here was not just how investors understood the provisional nature of scientific knowledge, but also evidence of fraud. Contemporaneous mining scandals not only included the salting of cores, but also unreliable proprietary sample preparation and assay methods, mis-representations of visual field estimates as drilling results and ‘overly optimistic’ geological reports. This paper reports on initiatives taken in the wake of these scandals and prompted by the Mining Standards Task Force (TSE/OSC 1999). For regulators, mandated to increase investor confidence in Canada’s leading role within the global mining industry, efforts focused first and foremost upon identifying and removing sources of error and wilfulness within the production and circulation of scientific knowledge claims. A common goal cross-cutting these initiatives was ‘a faithful representation of nature’ (Daston and Galison 2010), however, as the paper argues, this was manifest in an assemblage of practices governed by distinct and rival regulative visions of science and the making of markets in claims about ‘nature’. These ‘practices of fidelity’, it is argued, can be consequential in shaping the spatial and temporal dynamics of the marketization of nature.

Maternal imagination: Reconceiving first impressions

The concept of maternal imagination, whereby the disordered thoughts and impressions of pregnant women are used to explain the prevalence of monstrous births, was at its height during the early modern period, albeit it with many prior and subsequent manifestations. Against a more familiar, and enduring, medieval and Renaissance context of supernatural agency at work, the device of MI was seen as a 'naturalistic' model more in keeping with the advent of Enlightenment scientism. Nonetheless, the debate around it was ferocious and indicative more of a masculine anxiety about female desire and generative power than of a concern for impartial explanation. In problematizing a simply descriptive approach to archival material, my purpose is to explore what is at stake in the competing discourses that seem alternately, and even simultaneously, to empower and degrade the place of the mother. What is the unspoken of an historical debate that prefigures our contemporary interest in feminine excess?

Assessing the determinants of public confidence in the police: A case study of a post-conflict community in Northern Ireland

Drawing upon original survey research this article seeks to identify the generative processes that influence perceptions of the police in the context of an inner-city neighbourhood in Northern Ireland that has been affected by increases in crime and disorder in the aftermath of the peace process. Conceptually we draw upon recent research from England and Wales that outlines confidence in the police in terms of instrumental and expressive dimensions. We apply this framework and consider whether it provides a useful template for understanding the post-conflict dynamics of police-community relations in our study area. Contrary to much received wisdom our analysis suggests that instrumental concerns about crime and illegal activity are a more influential predictor of attitudes to the police than expressive concerns with disorder and anti-social behaviour. Consequently our discussion points to the variance in local and national survey data and questions the degree to which the latter can usefully inform our understanding of trends and developments in discrete micro-spaces. Our conclusion outlines the potential policy implications for state policing practice in deprived urban spaces.

'Pues tanto se esconde': Elusion at (inter)play in Ana Caro's El conde Partinuplés

El conde Partinuplés (first published 1653) is one of only two extant plays written by the Sevillan poet/dramatist Ana Caro Mallén de Soto (‘la décima musa sevillana’). Despite McKendrick's dismissal of the play as ‘extremely bad’, it has been the object of substantial critical scrutiny since the 1970s, impelled in great part by the production of modern editions (Luna and Delgado) and by Kaminsky's bio-biographical study (1973). Two responses have dominated: analysis of the play's imaginative reconceptualization of source material (most notably the Classical myth of Cupid and Psyche as contained in Apuleius and transmitted via the anonymous French chivalric romance Portonopeus de Blois; and more contemporary models, such as Calderón's La vida es sueño); discussions of the play from a gender/feminist perspective. There is some inevitable entanglement in these approaches, areas of ideological concurrence, but also of contradiction. This article will offer a critical synthesis of these lines of enquiry around an analysis of the play's patterns of non-identical repetition and, following Hubert's theory of ‘double movement’, will move beyond these to consider the generative and potentially transcendent nature of the interplay of inscription (text) and transcription (interpretive performance). A subversive strategy of elusion underpins this interference, a dynamic, mobile frame within which ‘envidia’ (‘celos’) functions as a prominent dramatic catalyst, directed outwards, and mobilized both as a potent catalyst for the female dramatist's artistic creativity and as an antagonistic interrogation of broader socio-cultural forms of inequality. The play's (new) marvellous versions and inversions expand the functions of the sign beyond Renaissance resemblance and repetition, challenging its promotion of unity and stable identity, and opening up an interactive space between the represented (world/product) and the representing (stage/process). The power of authorities, as figured in/through the dramatic and rhetorical devices of the play, is self-consciously precarious, but it is this very anxious articulation that challenges the very authority of power.

Generating Realistic Labelled, Weighted Random Graphs

Generative algorithms for random graphs have yielded insights into the structure and evolution of real-world networks. Most networks exhibit a well-known set of properties, such as heavy-tailed degree distributions, clustering and community formation. Usually, random graph models consider only structural information, but many real-world networks also have labelled vertices and weighted edges. In this paper, we present a generative model for random graphs with discrete vertex labels and numeric edge weights. The weights are represented as a set of Beta Mixture Models (BMMs) with an arbitrary number of mixtures, which are learned from real-world networks. We propose a Bayesian Variational Inference (VI) approach, which yields an accurate estimation while keeping computation times tractable. We compare our approach to state-of-the-art random labelled graph generators and an earlier approach based on Gaussian Mixture Models (GMMs). Our results allow us to draw conclusions about the contribution of vertex labels and edge weights to graph structure.

PatchCity: Procedural City Generation using Texture Synthesis

PatchCity is a new approach to the procedural generation of city models. The algorithm uses texture synthesis to create a city layout in the visual style of one or more input examples. Data is provided in vector graphic form from either real or synthetic city definitions. The paper describes the PatchCity algorithm, illustrates its use, and identifies its strengths and limitations. The technique provides a greater range of features and styles of city layout than existing generative methods, thereby achieving results that are more realistic. An open source implementation of the algorithm is available.