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In this work we analyse the social and the cognitive structure in the field of argumentation theory with the goal of discovering the dynamics of connections that exist across different communities in the field. We aim at unveiling the topical diversity in the works of leading intellectuals, the different types of authors' profiles, as well as at comparing the structures of social and cognitive networks in the field. The analysis is performed on database containing about 10,000 publications indexed by Scopus with the word 'argumentation' in title, abstract, and keywords. The combination of scientometric techniques and social network analysis allows overlaying cognitive and social structure of communities and highlights the similarities and differences between the two. When combined with analysis of individual scientific profiles of the most productive and influential individuals, the work provides insights of individual strategies scientists use when choosing their topics of research and research problems. Our findings show that the structure of the field is rich with respect of diversity of topics and communities of authors. In addition, there are numerous connections among these that enable the diffusion of ideas across topics as well as several specific communities whose engagement contributes to delving deep into single topics. Individuals as drivers of these two mechanisms tend to show more diversity in their works as their production increases. These normal ecologies of science have been studied before; however, we explore it from micro viewpoint in detailed way that differs from standard quantitative approaches. These open some interesting questions for future exploration.
social sttructure, cognitive structure, diversity
social sttructure, cognitive structure, diversity
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |