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and between Communication and other fields is the goal of this research. By using network analysis, previous studies found that nine journals from 1975 to 1979 clustered into two groups: speech-communication journals (QJS, CCSJ, and CM) and mass

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-degree distribution (Price 1965 ). Social network analysis (SNS) is a sociological research method pioneered in the 1930s. It uses graph theory to study the complex social structure formed by the social interaction between members. Another method in network

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Abstract  

This study examines network topologies of interdisciplinary research relationships in science and technology (S&T) and investigates the relational linkages between the interdisciplinary relations and the quality of research performance. A network analysis was performed to evaluate the General Research Grant (GRG) program, an interdisciplinary research funding program of the Korea Science and Engineering Foundation (KOSEF); the dataset covered the 2002–2004 period. The analytical results reveal the hidden network structure of interdisciplinary research relationships and demonstrate that the quality of research performance might be enhanced not only by interdependent pressures placed on various research fields but also by accumulated research capabilities that are relatively difficult to access and reproduce by other research fields.

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relatedness. The network indicators of degree centrality and structural holes considered in this network analysis indicate the precision of the network pattern. The results analysis provides an objective statistical reference for using the patent citation

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), distinguishing the core symptoms of PSU can promote an understanding of its characteristics, which is of significance for its prevention and treatment. Network analysis between symptoms Network analysis is a method to visualize the structure and interactions of

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analysis: A Reappraisal. CurrAnt 20, 392–394. Boissevain J. Network analysis: A Reappraisal CurrAnt 1979

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social network analysis (SNA) to identify trends from word co-occurrences (Lee and Jeong 2008 ; Callon et al. 1991 ). However, to identify occurrences of keywords, CWA should define in advance a set of keyword or key phrase patterns which are

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This paper aims to analyse the collaboration network of the 6th Framework Programme of the EU, specifically the “Life sciences, genomics and biotechnology for health” thematic area. A collaboration network of 2,132 participant organizations was built and several variables were added to improve the visualization such as type of organization and nationality. Several statistical tests and structural indicators were used to uncover the main characteristic of this collaboration network. Results show that the network is constituted by a dense core of government research organizations and universities which act as large hubs that attract new partners to the network, mainly companies and non-profit organizations.

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The notion of core documents and their application is discussed in the context of scientometric networks. An interesting solution of the problem of the arbitrariness of thresholds emerges from the application of Hirsch-type indices to dense networks as are typically observed in local clustering. Examples from several disciplines in the sciences and social sciences illustrate how these core vertices can be determined using this approach, and visualise how core documents are applied to represent the internal structure of the complete network or of parts of it.

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measures of peer effects, which revealed inconsistent findings. A recent narrative review ( Hoeben, Meldrum, Walker, & Young, 2016 ) suggested that future studies should use a social network analysis (SNA) to measure objective peer effects, while avoiding

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