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Community mining in co-authorship network
International Conference on Information Communication and Embedded Systems (ICICES2014), 2014Community is formed by individuals such that those within a group interact with each other more frequently than with those outside the group. Community mining or detection involves discovering groups in a network where an individual's group memberships are not explicitly given. Much of the research on detecting communities in co-authorship networks has
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Analysis of Significance and Evolution of Co-authorship Networks
2016In co-authorship networks analysis, we may find many interesting tasks. The goals of networks analysis are: studying network structure, detecting communities and their evolution over time, identifying significant authors and relations, and many others.
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The methodological status of co-authorship networks [PDF]
A powerful strategy within the study of collaboration in science is to posit that co-authorship patterns represent social networks. It is prerequisite to an application of Social Network Analysis (SNA) to define the network entities. A network analysis of the inter-institutional collaboration in COLLNET on the basis of co-authorships was conducted. The
Jahn, Najko +2 more
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Methods and Models for Co-Authorship Networks
Scientific collaboration, recognized as a crucial driver of research progress and innovation, has increased significantly across all academic disciplines. This trend is further reinforced by government policies at both national and international levels, which actively promote collaborative research initiatives.Amin Gino Fabbrucci Barbagli +2 more
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Authorship Structures and Collaboration Networks in Tourism Journals
Journal of Hospitality and Tourism Education, 2021Mehmet Ali Köseoglu, Brian Em KING
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Source Code Authorship Identification Using Deep Neural Networks
Symmetry, 2020Anna Kurtukova +2 more
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A Comparison of Different Loss Computations in Siamese Networks for Authorship Verification
Lecture Notes in Networks and Systems, 2023Ayla GÜLCÜ +2 more
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