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

Daraganova, Galina; Pattison, Philippa; Koskinen, Johan; Mitchell, Bill; Bill, Anthea; Watts, Martin; Baum, Scott

doi:10.1016/j.socnet.2010.12.001

Cited by 107 publications

(82 citation statements)

References 38 publications

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“…This method typically relies on the use of computationally demanding MCMC simulations combined with regression techniques. Applying ERGM models to the analysis of phonological networks could give interesting additional insights, but (i) computational costs and (ii) open theoretical questions on how to include constraints from spatial embedding (which has only been considered in Euclidean space quite recently [43]) and (iii) phoneme statistics make the randomization approach the preferred choice for this study.…”

Section: Randomization Experimentsmentioning

confidence: 99%

Patterns in the English language: phonological networks, percolation and assembly models

Stella¹,

Brede²

2015

J. Stat. Mech.

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Abstract. In this paper we provide a quantitative framework for the study of phonological networks (PNs) for the English language by carrying out principled comparisons to null models, either based on site percolation, randomization techniques, or network growth models. In contrast to previous work, we mainly focus on null models that reproduce lower order characteristics of the empirical data. We find that artificial networks matching connectivity properties of the English PN are exceedingly rare: this leads to the hypothesis that the word repertoire might have been assembled over time by preferentially introducing new words which are small modifications of old words. Our null models are able to explain the "power-law-like" part of the degree distributions and generally retrieve qualitative features of the PN such as high clustering, high assortativity coefficient, and small-world characteristics. However, the detailed comparison to expectations from null models also points out significant differences, suggesting the presence of additional constraints in word assembly. Key constraints we identify are the avoidance of large degrees, the avoidance of triadic closure, and the avoidance of large non-percolating clusters.

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Section: Randomization Experimentsmentioning

confidence: 99%

Patterns in the English language: phonological networks, percolation and assembly models

Stella¹,

Brede²

2015

J. Stat. Mech.

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“…The concept of social space has frequently been invoked to describe how structural and physical features of networks jointly impinge on actors' decisions and behaviour (Daraganova et al, 2012;Mische & White, 1998;Pattison & Robins, 2002). Padgett and Ansell (1993), for example, present a case in which social identities and individual strategies can only be understood with reference to the positions that actors occupy in a multilevel social space.…”

Section: Introductionmentioning

confidence: 99%

Multilevel social spaces: The network dynamics of organizational fields

Hollway¹,

Lomi²,

Pallotti³

et al. 2017

Net Sci

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We consider the dynamics of organizational fields as driven by multilevel micro-mechanisms connecting internal and external organizational decisions. The former type of change involves organizational decisions to adjust portfolios of internal activities. The latter kind of change involves organizational decisions to modify portfolios of ties with network partners. The aggregate result of these change processes is a system of interconnected positions that organizations occupy in a multilayered social space. We explain how organizations move through the multilevel space generated by their interconnected decisions by specifying newly derived stochastic actor-oriented models for the analysis of network change across multiple levels. We use data that we have collected on organizational and network change in a field of health care organizations to examine the role of multilevel mechanisms in producing and reproducing the complex structure of collaborative relations commonly observed in empirical studies of interorganizational networks.

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“…But despite the growing literature in that field, one of the main criticisms concerning relational thinking is the reductionist, geometric focus on distance. Geography is often treated only as a cost function of linear distance rather than as a matter of multifaceted and rich social context (Daraganova et al, 2012;Doreian & Conti, 2012).…”

Section: Social Processes Social Network and Distancementioning

confidence: 99%

Exploring the Interaction of Space and Networks in the Creation of Knowledge: An Introduction

Glückler

Lazega

Hammer

2017

Knowledge and Space

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The book series on Knowledge and Space explores the nature of human knowledge from a geographical perspective. How to create, share, and adopt new knowledge is a core question in the social sciences. Processes of learning and knowledge creation are the result of social practice and always take place in space and in specific geographical contexts. The eleventh volume is the outcome of the symposium entitled "Topographies and Topologies of Knowledge" in the series of Klaus Tschira Symposia on Knowledge and Space held at the Villa Bosch Studio in Heidelberg. This book focuses on the conceptual and empirical intersections of the geographical and network dimensions of social practice in accounting for the creation and reproduction of knowledge. By taking up this dialogue between the fields of geography and social network studies, the book is conceived to bridge a research gap between two analytic perspectives that until recently have developed more in parallel to each other than in mutual exchange between scholars. The intention of its chapters is to broaden and deepen understanding of the specific characteristics not only of space and connectivity but also of their mutual and interactive effect on knowledge creation.

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

Cited by 107 publications

References 38 publications

Patterns in the English language: phonological networks, percolation and assembly models

Patterns in the English language: phonological networks, percolation and assembly models

Multilevel social spaces: The network dynamics of organizational fields

Exploring the Interaction of Space and Networks in the Creation of Knowledge: An Introduction

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