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A Research Of Characters And Identifications Of Roles Among Research Groups

Posted on:2018-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:M F LiuFull Text:PDF
GTID:2428330515997545Subject:Information Science
Abstract/Summary:PDF Full Text Request
With the advent of the era of big science,natural science,technical science,humanities and social sciences have an increasing tendency towards mutual integration,infiltration and complementation.The knowledge system gradually evolved to various categories and complex structures.It becomes difficult to achieve new scientific discoveries and breakthroughs just through scholars' independent research.In order to adapt to the trend of scientific research,scientific research team came into being.Therefore,researches on scientific research team are inevitable due to the trend of scientific cooperation,which are also the important content of scientific metrology and academic information mining.In scientific studies,research groups promote the advancement of science through academic exchanges and interaction.Based on a case study of computational linguistics and research object of research groups,this paper recognizes the roles of scientific research groups and simultaneously explores their features.Firstly,combining community identification algorithm,this paper constructs the corporate author cooperative network to identify research groups.Secondly,the citation network of research groups is built based on citation relationship.Thirdly,in order to reveal the connection mode of the network,the mode of knowledge flow and structural feature,based on the bow-tie model,this study identifies research groups as four roles including exporters,transfers,absorbers,isolated and then analyzes their features.Simultaneously,based on the network positional relationship theory,this study identifies research groups as four roles including leaders,agents,followers and isolated.The different features of four roles of research groups were revealed by number of members,achievements,cooperation intensity,dynamic evolution and prediction of roles.
Keywords/Search Tags:research groups, complex network, Bow-Tie model, network positional relationship theory, group role
PDF Full Text Request
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