University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Analyzing networks in industrial ecology - a review of Social-Material Network Analyses

Schiller, F, Penn, AS and Basson, L (2014) Analyzing networks in industrial ecology - a review of Social-Material Network Analyses Journal of Cleaner Production, 76 (1). pp. 1-11.

[img]
Preview
Text
1-s2.0-S0959652614002509-main.pdf - ["content_typename_UNSPECIFIED" not defined]
Available under License : See the attached licence file.

Download (792kB) | Preview
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

This review concerns the methodological challenges that industrial ecology faces in integrating natural and social sciences. Network analysis can be seen as the most promising method to mediate between industrial ecology's overall systems approach and the complex structures found in society. It is a well established method across scientific disciplines, including the social sciences. It has been successfully applied in industrial ecology, in which localized phenomena of industrial symbiosis have been a key focus, and where metrics from both the social and natural sciences are used to understand socio-metabolic structures. In this paper we classify such studies as Social-Material Network Analyses and we discuss the body of work, drawing on network analyses from various disciplines. A challenge is the hierarchical nature of industrial networks and how it can be addressed socially. We discuss the opportunities and limitations of metric-driven network analysis and offer a review of methodological options for Social-Material Network Analyses. © 2014 The Authors.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Department of Sociology
Authors :
AuthorsEmailORCID
Schiller, FUNSPECIFIEDUNSPECIFIED
Penn, ASUNSPECIFIEDUNSPECIFIED
Basson, LUNSPECIFIEDUNSPECIFIED
Date : 5 April 2014
Identification Number : 10.1016/j.jclepro.2014.03.029
Additional Information : Copyright 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.
Depositing User : Symplectic Elements
Date Deposited : 20 Jun 2014 09:30
Last Modified : 20 Jun 2014 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/805582

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800