Geographic clustering and network evolution of innovative activities: Evidence from China’s patents

This study examines the spatial distribution and social structure of processes of learning and knowledge creation within the context of the inventor network connecting Chinese patent teams. Results uncover mixed tendencies toward both geographic co-location and dispersion arising from combined processes of intra-cluster learning and extra-cluster networking. These processes unfold within a social network that becomes less fragmented over time: as a giant component emerges and increases in size, social distances among inventors become longer. The interplay between geographic and network proximity is assessed against China’s institutional environment. Implications of the findings are discussed for regional development and policy-making.clusters; knowledge transfer; social networks; patenting

The social network of international health aid

International development assistance for health generates an emergent social network in which policy makers in recipient countries are connected to numerous bilateral and multilateral aid agencies and to other aid recipients. Ties in this global network are channels for the transmission of knowledge, norms and influence in addition to material resources, and policy makers in centrally situated governments receive information faster and are exposed to a more diverse range of sources and perspectives. Since diversity of perspectives improves problem-solving capacity, the structural position of aid-receiving governments in the health aid network can affect the health outcomes that those governments are able to attain. We apply a recently developed Social Network Analysis measure to health aid data for 1990-2010 to investigate the relationship between country centrality in the health aid network and improvements in child health. A generalized method of moments (GMM) analysis indicates that, controlling for the volume of health aid and other factors, higher centrality in the health aid network is associated with better child survival rates in a sample of 110 low and middle income countries

Structure and Evolution of Weighted Networks

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