A PageRank-based Collaborative Design Team Member Influence Study

A PageRank-based Collaborative Design Team Member Influence Study

Aiming at the lack of evaluation indicators of the influence of collaborative design team members, this paper proposes a collaborative design team member influence algorithm DesignRank that combines collaborative design behavior characteristics with PageRank. The DesignRank algorithm takes into acco...

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Bibliographic Details
Published in:2022 International Symposium on Educational Technology (ISET) pp. 13 - 17
Main Authors: Mengjia, Xue, Yang, Ji
Format: Conference Proceeding
Language:English
Published: IEEE 01-07-2022
Subjects:
Behavioral sciences
Collaboration
collaborative design
design behavior
Educational technology
member influence
PageRank
Online Access:Get full text
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Summary:Aiming at the lack of evaluation indicators of the influence of collaborative design team members, this paper proposes a collaborative design team member influence algorithm DesignRank that combines collaborative design behavior characteristics with PageRank. The DesignRank algorithm takes into account the two factors of self-design level and interactor's design level, and calculates the influence of group members in the collaborative design platform. The experimental results show that the DesignRank algorithm is a more comprehensive and complex method.
ISSN:2766-2144
DOI:10.1109/ISET55194.2022.00012