Mountain regions and peripheral communities, which often depend on few economic sectors, are among the most exposed and sensitive to climate change. Governance of such socio-economic-ecological networks plays a strong role in determining their resilience. Social processes of governance, such as collaboration between communities, can be systematically assessed through the existence and strength of connections between actors and their embeddedness in the broader socio-economic network by social network analysis (SNA). This paper examines how network governance of the tourism industry-dependent Swiss Gotthard region relates to resilience to climate change by SNA. The paper argues that economic diversification and a network structure supporting stability, flexibility, and innovation increase regional resilience to climate change. The Gotthard network has a high diversification capability due to high cohesion and close collaboration, limited innovative capacity by the existence of only two subgroups, and considerable flexibility through the centralized structure. Main weaknesses are a low density, uneven distribution of power, and a lack of integration of some supply chain sectors into the overall network. A resilience framework for vulnerable communitiesElectronic supplementary material The online version of this article (

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Abstract:The transition of our current energy system from a fossil-based system to a system based on renewables is likely to be one of the most complex and long-term societal transitions in history. The need for a fundamental system transformation raises the question of how to measure the continuing progress and the resilience of this process over time. This paper aims at developing the conceptualization and operationalization of resilience for energy systems in transition with regard to both social and technical aspects. Based on the resilience concept in social-ecological systems literature, we propose to conceptualize resilience for energy systems building on two core attributes of resilience, namely diversity and connectivity. We present an indicator set to operationalize these key attributes in social and technical systems using: (i) definitions and measurements for three fundamental diversity properties-variety, balance and disparity-and (ii) basic connectivity properties from the social network analysis literature-path length, centrality and modularity. Finally, we reflect on possibilities for an application of these indicators in the social and technical system's spheres and discuss the added value of the approach for energy transition research.

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