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MCPS2: Intention Maintenance of Structure Document Based MCPS Under Mobile Platform

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Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2018)

Abstract

In order to meet the intentions of multi-user to the maximum extent possible, and enhance the meaning of collaborative works. We improve an intention maintenance algorithm called MCPS2, which based on the MCPS algorithm in the last paper. The MCPS2 algorithm uses the P2P network connection method to construct a cooperative customer network, and all cooperative clients participate in a collaborative editing according to requesting structured documents by partial replication strategy. At the same time, combined with user liveness, giving master attribute to collaborative sites, and add the Title Creator (TC) attribute to title-node, reasonable arrangements for new nodes, editing, request and other rights. Finally, we support permission transfer dynamic control mechanism to ensure the user’s immediate demand.

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Acknowledgement

We would like to thank the reviewers, whose valuable critique and comments helped to improve this paper. Moreover, this work is supported by the Innovation and entrepreneurship project of University of Shanghai for Science and Technology under Grant No. XJ2018371, National Science Foundation of China (NSFC) under Grant No. 61202376 and 61572325, Shanghai Natural Science Foundation under Grant No. 17ZR1419100, the Open Project Program of Shanghai Key Laboratory of Data Science (No. 201609060003).

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Correspondence to Dan Wang .

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Wang, D., Zhu, S., Gao, L., Wang, S., Xu, X., Tao, C. (2019). MCPS2: Intention Maintenance of Structure Document Based MCPS Under Mobile Platform. In: Sun, Y., Lu, T., Xie, X., Gao, L., Fan, H. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2018. Communications in Computer and Information Science, vol 917. Springer, Singapore. https://doi.org/10.1007/978-981-13-3044-5_2

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  • DOI: https://doi.org/10.1007/978-981-13-3044-5_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3043-8

  • Online ISBN: 978-981-13-3044-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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