Social Networks最新文献

We examined how scientific information influences policy beliefs among organizations in climate change policy networks in Germany and Japan. Different combinations of information types, policy beliefs, and organizational roles were found to play instrumental roles. Ideational influence can occur when (1) the sender is a credible information source, (2) the receiver can understand the “message,” and (3) the receiver depends on the sender’s information. Organizational roles involved in this ideational influence are different in technical and political information exchange. The leverage of influence depends on the organizational ecology of different roles in each country.

There is a clear consensus among climate scientists about the reality and serious consequences of anthropogenic climate change. However, a vocal minority challenges this consensus. While some research has drawn attention to how conservative foundations support these anti-consensus scientists, less is known about how these scholars are embedded within the broader scientific community. Here, we analyze the networks of anti-consensus and consensus scientists and observe the extent to which these groups are maintained through peer collaborations (e.g. co-authorship) or substantive focus (e.g. research specialization). Using bibliometric data, we construct co-authorship and bibliographic networks linking scientists that appear in two key reports representing the consensus and anti-consensus positions. We identify specialty areas using text analysis and model participation in either series of reports. Results indicate that anti-consensus scientists are not in the same network as consensus scientists and have somewhat different research specializations than consensus scientists although there is substantive overlap. Additionally, anti-consensus scientists do not form a coherent network among themselves, which suggests they do not constitute a separate scientific community, but rather are composed of a disparate group of idiosyncratic scientists.

In public debates, climate change communication tends to polarize into communities for and against the scientific basis of global warming. We analyze mention networks on Twitter around the publication of the Fifth Assessment Report (AR5) of the Inter-governmental Panel on Climate Change (IPCC) Working Group 2 and 3 reports that were published in March–April 2014. Building upon earlier research into climate skepticism and polarization of climate change debate, we focus on the relative prominence of different types of Twitter user accounts, in terms of engagement with other users and their alignments towards the scientific basis of climate change. We distinguish a “heart” actively discussing IPCC from a “shadow”, which more anecdotally mentions IPCC and is likely to correspond to the remainder of a public space minimally interested in IPCC-related reports. We develop an original network analysis framework that enables us to analyze and deconstruct the inner structure of this heart’s strongly intertwined engagement dynamics. Interesting observations relate to the position of critical users, who are in the minority, but are in relative terms most engaged with and most engaging with other users in this arena, while the media, casual users and governmental agencies occupy relatively less prominent positions. We further qualify the various structural positions by demonstrating that they correspond to different types of vocabulary specific to user types and positions. This socio-semantic approach may be generally helpful to disentangle semantic and structural polarization in online conversation spaces where opposing poles precisely appear to be mixing.

Climate change governance networks help actors overcome collective action problems by building social capital. The literature studies these networks as embodying a single underlying social problem: coordination or cooperation. This approach overlooks actor heterogeneity and cannot account for the empirical coexistence of different types of social capital. We contend that climate change governance networks consist of functionally differentiated communities of actors who build bonding or bridging social capital depending on their characteristics and goals. We test these claims with an Affiliation Graph Model (AGM) in the empirical case of adaptation to sea level rise in the San Francisco Bay Area, using original data collected in 2018. We distinguish three social processes: ‘leadership/brokerage’, ‘translation’, and ‘following’. Further research on different combinations of social capital across different networks is warranted.

Policy discourses are important platforms for political actors to express their preferences on certain issues and are usually linked to a specific policy subsystem. From a research perspective, they have the potential to indicate ideological coalitions, policy change and learning. Using discourse network analysis, we identify core policy actors, issues, and coalitions in Switzerland’s climate policy discourse and investigate how they have evolved over the past 15 years. In line with the policy process literature, we expected to see more stability than change in the discourse linked to the mature climate policy subsystem. However, our results have shown that policy discourses are more volatile than policy subsystems, and that national and international policy developments are able to trigger change, particularly in terms of the configuration of actor coalitions and the issues discussed.

In this article, we advance literature on the political economy of climate change. First, we build upon ecologically unequal exchange perspectives to argue that the structure of the international natural resource exchange network moderates the impact of economic development on CO₂ emissions by inculcating resource dependency among less central countries. Thus, less central countries experience higher environmental costs to development than more central countries. Second, we conduct a network analysis of international trade in natural resources. This allows us to both describe the exchange relations that exist in this network and identify the unique structural locations that countries occupy within it. Our network analysis is unique in that it isolates the exchange of natural resources from an all-encompassing “world-system.” Third, we assess the degree to which development has more deleterious effects on the environment among less central countries in this network using three operationalizations of CO₂ emissions and allowing for both linear and non-linear associations between development and CO₂ emissions. Fourth, we assess the degree to which resource dependency operates as a causal mechanism linking resource structure to higher environmental costs of development. The results of panel regression models suggest that the environmental costs to development are higher in less central countries across all three outcomes and specifications of the development-CO₂ association, and that resource dependency plays a significant but partial role in this process. We conclude by implicating these findings in ongoing debates about the political economy of climate change and suggesting avenues for future research.

International bureaucracies, also called International Public Administrations (IPAs), have been identified as potentially influential actors within the global climate change regime complex. To assess how these organizations exert influence, scholars have predominantly relied on case studies, interviews and descriptive (network) statistics. This article aims to contribute to this literature with a systematic analysis that is not limited to an organization, issue or region, but applies exponential random graph models (ERGMs) to data from an original large-N survey (n = 342) of participants of global climate negotiations. Our findings indicate that IPAs have a considerable potential to influence global climate policy outputs. This potential influence is associated with the information they provide to regime stakeholders.

In this paper, we investigate the relational architecture of the Intergovernmental Panel on Climate Change (IPCC) focussing on the individuals that, in the thirty years of its existence, have assured the connection between its different components. To study relational bridging within the IPCC, we created a unique database of all the individuals who have contributed to the organisation since its establishment and noted in which workstream they participated (i.e., function + Working Group + Assessment Report). From this database we extract the participants-workstreams affiliation network and use it to compute several metrics of bridgeness, which we discuss, validate, and compare. We use these metrics to investigate the general distribution and evolution of bridging in the IPCC, but also to identify individuals who more actively provided connections between its authors and government representatives (functional bridges), its Working Groups (thematic bridges) and its assessment cycles (temporal bridges). Focussing on the role of key bridge individuals and their trajectories within the organisation, we provide insights on the IPCC as a network organisation.

Stakeholder participation is increasingly seen as beneficial for short and long term responses to climate change risks. Past research highlights the role social networks play as both a key outcome of participation, as well as an important step towards other environmental governance goals. This paper focuses on the social relation of mutual understanding, which is often discussed in the environmental governance literature, but has yet to be studied as an empirical social network in its own right. Our paper builds and tests a conceptual framework linking participation to mutual understanding and social learning. We analyze three waves of network and perceptions data gathered on stakeholders participating in the Integrated Coastal Resiliency Assessment (ICRA) project, a 2.5 year-long project aimed at developing a collaborative research assessment on the vulnerabilities to climate change experienced by an island community located in the Chesapeake Bay, USA. Our findings suggest that participation (measured as co-attendance in project events) leads to the formation of mutual understanding ties among stakeholders, but these ties do not necessarily lead to more similarity in stakeholders’ perceptions on climate change. We reflect on these findings, and the project more broadly, noting that our study lends support to scholars arguing that feelings of mutual understanding are potentially more important for certain forms of collective action, as opposed to whether or not stakeholders increase their shared beliefs or perceptions about the environmental problem in question.

Despite growing interest in the impacts of both forest certification and networks in effective natural resource management, there is little literature that brings these two lines of inquiry together. Combining longitudinal remote sensing and village-level forest governance network data, we estimate Cox proportional hazard models predicting the risk of forest loss within 100-square meter forest plots in areas that eventually came under Forest Stewardship Council certification. Our models indicate Forest Stewardship Council certification substantially reduces deforestation, despite that the system is not explicitly designed to do so. While villages with ties to civil society organizations also tend to experience reduced deforestation, those with ties to private sector organizations experience more forest loss. Further, we find that forest loss declines as the share of closed triangles in villages’ governance networks increases. Our results indicate network structure may complement Forest Stewardship Council certification’s impact on forest cover and account for some reduction in deforestation previously attributed to certification itself.