[Purpose/significance] The strong and weak ties is one of the important factors that affect the dynamic link prediction of knowledge diffusion in disciplinary citation networks. The strong and weak citation ties in diffusion of disciplinary knowledge jointly promote knowledge exchange, integration and innovation among disciplines with coordination and mutual effect. The exploration of strong and weak ties in the dynamic link prediction of knowledge diffusion in disciplinary citation networks can provide theoretical and practical references for expanding the application of the strong and weak ties theory, revealing the micro-evolution law of knowledge diffusion behavior of disciplinary citation, and evaluating, designing and optimizing dynamic link prediction algorithm indicators.[Method/process] In this paper, on the basis of synergistic idea, the method of detecting strong and weak ties in the dynamic link prediction was constructed by controlling external structure and analyzing internal evolution mechanism of the networks. To be specific, the influence of strong and weak ties on the dynamic link prediction of knowledge diffusion in disciplinary citation networks based on common neighbor similarity was discussed from three perspectives of adjustment of knowledge connection weight in disciplinary citation networks, link failure triggering and motif analysis.[Result/conclusion] The research has shown that, firstly, strong ties play a more important role in evolution of knowledge diffusion in disciplinary citation networks and dynamic link prediction; secondly, strong and weak ties effect in link prediction is not only related to connection weight of disciplinary citation networks, but affected by the number of common neighbor and micro motif structure; thirdly, compared with the spillover ability of knowledge from source discipline, the absorbing ability of knowledge in destination discipline has a more prominent impact on the process of developing new knowledge links.
Yue Zenghui
,
Xu Haiyun
,
Zhao Min
. Influence of Strong and Weak Ties on Dynamic Link Prediction of Knowledge Diffusion in Disciplinary Citation Networks[J]. Library and Information Service, 2021
, 65(13)
: 66
-76
.
DOI: 10.13266/j.issn.0252-3116.2021.13.007
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