Avoidant adult attachment negatively relates to classroom popularity: Social network analysis support for the Parent–Partner–Peer Attachment Transfer model

Research on Spatial Correlation Network Structure of Inter-Provincial Electronic Information Manufacturing Industry in China

Electronic information manufacturing industry is the pillar industry of China’s economic development. It is of great significance to promote the optimal allocation of national resources and to realize the sustainable development of regional economy by deeply analyzing the spatial correlation structure characteristics of inter-provincial electronic information manufacturing industry, clarifying the status and role of each province in the overall network, and exploring the spillover effect of network space. Based on the panel data of China’s inter-provincial electronic information manufacturing industry from 2007 to 2016, this paper constructs a spatial correlation network by using gravity model and deconstructs the spatial network correlation characteristics of inter-provincial electronic information manufacturing industry by using social network analysis. The research shows that the spatial network connectedness of inter-provincial electronic information manufacturing industry is on the rise during the sample period, but the density value is low. The network accessibility and robustness is strong. Compared with the central and western regions, the eastern coastal provinces have stronger control and the ability to attract external resources. Finally, from the perspective of overall situation, differences, and resource support, the paper puts forward some countermeasures and suggestions to promote the sustainable and coordinated development of China’s region.

An Introduction to Social Network Analysis for Personality and Social Psychologists

Social network analysis (SNA) is a methodology for studying the connections and behavior of individuals within social groups. Despite its relevance to social and personality psychology, SNA has been underutilized in these fields. We first examine the paucity of SNA research in social and personality journals. Next we describe methodological decisions that must be made before collecting social network data, with benefits and drawbacks for each. We discuss common SNAs and give an overview of software available for SNA. We provide examples from the literature of SNA for both one-mode and two-mode network data. Finally, we make recommendations to researchers considering incorporating SNA into their research.