Including animals in sociology

2021 ◽  
pp. 001139212110654
Author(s):  
Yasmin Koop-Monteiro
Keyword(s):  
Social Network ◽  
Research Methods ◽  
Environmental Sociology ◽  
Ecological Impacts ◽  
Social Ecological ◽  
Recent Scholarship ◽  
The Social ◽  
Social Theories ◽  
Group 3 ◽  
Interspecies Relations

How do we include animals in sociology? Although sociology’s initial avoidance of the nonhuman world may have been necessary to the field’s development, recent scholarship – within mainstream sociology, environmental sociology and animal-centred research – is helping expand the field’s horizons. With a focus on variety, this article reviews four key paths that researchers are taking to include animals in their research: (1) studying interspecies relations, (2) theorizing animals as an oppressed group, (3) investigating the social and ecological impacts of animal agriculture and (4) analysing social-ecological networks. This review shows how applying – and innovating – existing social theories and research methods allows researchers to include animals in their analyses and will be relevant to a variety of scholars, including mainstream and environmental sociologists, animal-focused researchers and social network analysts, to name a few.

Introduction

2020 ◽  
pp. 1-29
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Structure ◽  
Research Methods ◽  
The Other ◽  
Traditional Research ◽  
The Social ◽  
Social Realm ◽  
The Impact

The traditional research approaches common in different disciplines of social sciences centered around one half of the social realm: the actors. The other half are the relations established by these actors and forming the basis of “social.” The social structure shaped by these relations, the position of the actor within this structure, and the impact of this position on the actor are mostly excluded by the traditional research methods. In this chapter, the authors introduce social network analysis and how it complements the other methods.

scholarly journals Social networks influence farming practices and agrarian sustainability

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244619
Author(s):  
Amaia Albizua ◽  
Elena M. Bennett ◽  
Guillaume Larocque ◽  
Robert W. Krause ◽  
Unai Pascual
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Land Management ◽  
Agricultural Intensification ◽  
Large Scale ◽  
Management Practices ◽  
Farming Community ◽  
Social Ecological ◽  
The Social ◽  
The Impact

The social-ecological effects of agricultural intensification are complex. We explore farmers’ perceptions about the impacts of their land management and the impact of social information flows on their management through a case study in a farming community in Navarra, Spain, that is undergoing agricultural intensification due to adoption of large scale irrigation. We found that modern technology adopters are aware that their management practices often have negative social-ecological implications; by contrast, more traditional farmers tend to recognize their positive impacts on non-material benefits such as those linked with traditions and traditional knowledge, and climate regulation. We found that farmers’ awareness about nature contributions to people co-production and their land management decisions determine, in part, the structure of the social networks among the farming community. Since modern farmers are at the core of the social network, they are better able to control the information flow within the community. This has important implications, such as the fact that the traditional farmers, who are more aware of their impacts on the environment, rely on information controlled by more intensive modern farmers, potentially jeopardizing sustainable practices in this region. We suggest that this might be counteracted by helping traditional farmers obtain information tailored to their practices from outside the social network.

scholarly journals Reconciling Conflict and Cooperation in Environmental Governance: A Social Network Perspective

2020 ◽  
Vol 45 (1) ◽  
pp. 471-495 ◽  
Author(s):  
Örjan Bodin ◽  
María Mancilla García ◽  
Garry Robins
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Environmental Governance ◽  
Conflicts Of Interest ◽  
Environmental Problems ◽  
Ecological Network ◽  
Environmental Sciences ◽  
Conflict And Cooperation ◽  
Social Ecological ◽  
The Social

Most if not all environmental problems entail conflicts of interest. Yet, different actors and opposing coalitions often but certainly not always cooperate in solving these problems. Hence, processes of conflict and cooperation often work in tandem, albeit much of the scholarly literature tends to focus on either of these phenomena in isolation. Social network analysis (SNA) provides opportunities to study cooperation and conflict together. In this review, we demonstrate how SNA has increased our understanding of the promises and pitfalls of collaborative approaches in addressing environmental problems. The potential of SNA to investigate conflicts in environmental governance, however, remains largely underutilized. Furthermore, a network perspective is not restricted to the social domain. A multilevel social-ecological network perspective facilitates integration of social and environmental sciences in understanding how different patterns of resource access can trigger both cooperation and conflict.

scholarly journals From social networks to network society: A review of the macro network approach in sociology

Sociologija ◽  
2007 ◽  
Vol 49 (2) ◽  
pp. 161-182
Author(s):  
Dalibor Petrovic
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Theory ◽  
Modern World ◽  
Social Changes ◽  
Network Approach ◽  
The Social ◽  
Social Theories ◽  
History Of ◽  
Social Network Approach

Traditional sociological theories are no longer fully capable of explaining social changes in the modern world. For this reason demands for new social theories is growing. In this article the author analyses one of these attempts, by reviewing new macro social network theories. Since our sociological community is not familiar enough with network theory, the first part of the paper is devoted to outlining the history of the social network approach in general. In the second part of the paper the more recent macro social network approach is discussed as represented by its most important proponents.

scholarly journals Financing for Development and Socio-Ecological Transitions: A Review of Chinese Investments in Kenya

2018 ◽  
Vol 7 (2) ◽  
pp. 34
Author(s):  
Antony Kamakia ◽  
Shi Guoqing ◽  
Mohammad Zaman ◽  
Zhou Junbi
Keyword(s):  
Ecological Impacts ◽  
Critical Discourse ◽  
Social Ecological ◽  
The Social ◽  
Comprehensive Development ◽  
Vision 2030 ◽  
Catalytic Role ◽  
Guidelines And Standards ◽  
Contemporary Chinese

Kenya has adopted a comprehensive development path to accelerate and create suitable conditions for sustainable development as outlined in the “Vision 2030.” A key strategy is the catalytic role of bilateral loans and finances which have increased in manifolds over the years. However, a growing and critical discourse has emerged about the social-ecological sustainability in the Chinese-financed development projects, within the context of China-Africa engagement policy. China is playing significant role in the economic growth of developing countries and in particular, critical investments in productive sectors. This paper examines the development-induced displacement and resettlement (DIDR) framework and explores the social-ecological impacts and outcomes of some selected Chinese-financed projects in Kenya. The paper also examines the various social-ecological guidelines and standards issued by Chinese authorities over-time, for their overseas investments and operations. It concludes that contemporary Chinese-financed development and investments in Kenya are resulting in increasing, improving and sustainable social-ecological outcomes.

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social

The Multilevel p2 Model

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders
Keyword(s):  
Social Network ◽  
Network Data ◽  
Mcmc Algorithm ◽  
Independent Observation ◽  
Single Observation ◽  
Multiple Networks ◽  
Social Network Data ◽  
Multiple Observations ◽  
Practical Support ◽  
The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

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