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Investigating collaboration in ubiquitous computing research

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Abstract

With the rapid development of mobile internet and smart devices, ubiquitous computing is experiencing a huge change. As direct progress reflection of the field, collaboration among scholars has been increasingly important and facilitating a few emerging applications, e.g., collaborator recommendation. In this paper, to further figure out how the contributors collaborate with each other, we explore two representative conferences in ubiquitous computing research field, UbiComp and Pervasive (merged with UbiComp in 2013). Papers collected from the two conferences are data set to examine collaboration from three perspectives: (1) Collaboration overview: we construct collaboration network and conduct analysis from aspects of author, institution, and nation respectively, and shed light on progress of the field. (2) Collaboration Evolution: by segmenting the whole time period of collaboration into two distinct stages, we identify different kinds of collaboration patterns in terms of collaborator and research topic. (3) Collaboration Quality: we propose a new method to quantify the actual quality of each kind of collaboration patterns. Furthermore, we propose some suggestions to development of ubiquitous computing according to our findings.

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Notes

  1. http://dblp.uni-trier.de/db/conf/huc/.

  2. http://dblp.uni-trier.de/db/conf/pervasive/.

  3. https://dblp.uni-trier.de/db/conf/kdd/.

  4. https://dblp.uni-trier.de/db/conf/cikm/.

  5. https://dblp.uni-trier.de/db/conf/www/.

References

  • Barabâsi, A.L., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., Vicsek, T.: Evolution of the social network of scientific collaborations. Phys. A Stat. Mech. Appl. 311(3–4), 590–614 (2002)

    Article  MathSciNet  Google Scholar 

  • Bian, J., Xie, M., Topaloglu, U., Hudson, T., Eswaran, H., Hogan, W.: Social network analysis of biomedical research collaboration networks in a ctsa institution. J. Biomed. Inform. 52, 130–140 (2014)

    Article  Google Scholar 

  • Ch’Ao, L.U., Zhang, C., Shutian, M.A.: How does citing behavior for a scientific article change over time? a preliminary study. Proc. Assoc. Inf. Sci. Technol. 52(1), 1–4 (2016)

    Google Scholar 

  • Chen, H.H., Gou, L., Zhang, X., Giles, C.L.: Collabseer: a search engine for collaboration discovery, Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries, pp. 231–240. ACM (2011)

  • Coccia, M., Wang, L.: Evolution and convergence of the patterns of international scientific collaboration. Proc. Natl. Acad. Sci. 113(8), 2057–2061 (2016)

    Article  Google Scholar 

  • Fung, H.N., Wong, C.Y.: Scientific collaboration in indigenous knowledge in context: Insights from publication and co-publication network analysis. Technol. Forecast. Soc. Change 117, 57–69 (2017)

    Article  Google Scholar 

  • Huynh, T., Hoang, K., Lam, D.: Trend based vertex similarity for academic collaboration recommendation, International Conference on Computational Collective Intelligence, pp. 11–20. Springer (2013)

  • Huynh, T., Takasu, A., Masada, T., Hoang, K.: Collaborator recommendation for isolated researchers, 2014 28th International Conference on Advanced Information Networking and Applications Workshops, pp. 639–644, IEEE (2014)

  • Jayabharathy, J., Kanmani, S., Parveen, A.A.: Document clustering and topic discovery based on semantic similarity in scientific literature, IEEE, pp. 425–429 (2011)

  • Jensen, S., Yu, Y., Liu, H.B., Liu, X.: Query-centric scientific topic evolution extraction, Asis&t Meeting: Information Science with Impact: Research in & for the Community, (2015)

  • Klemmer, S.R., Thomsen, M., Phelps-Goodman, E., Lee, R., Landay, J.A.: Where do web sites come from?: capturing and interacting with design history, Proceedings of the SIGCHI conference on Human factors in computing systems, 1–8. ACM (2002)

  • Korada, S.B., Montanari, A., Oh, S.: Gossip pca. Acm Sigmetrics Perform. Eval. Rev. 39(1), 169–180 (2011)

    Article  Google Scholar 

  • Kronegger, L., Mali, F., Ferligoj, A., Doreian, P.: Collaboration structures in slovenian scientific communities. Scientometrics 90(2), 631–647 (2012)

    Article  Google Scholar 

  • Liu, Y., Goncalves, J., Ferreira, D., Hosio, S., Kostakos, V.: Identity crisis of ubicomp? mapping 15 years of the field’s development and paradigm change, Acm International Joint Conference on Pervasive & Ubiquitous Computing, (2014)

  • Lopes, G.R., Moro, M.M., Wives, L.K., De Oliveira, J.P.M.: Collaboration recommendation on academic social networks, International Conference on Conceptual Modeling, pp. 190–199. Springer (2010)

  • Lu, K., Dietmar, W.: Delineating citation concepts, Asis&t Meeting on Navigating Streams in An Information Ecosystem, (2010)

  • Luo, H., Niu, C., Shen, R., Ullrich, C.: A collaborative filtering framework based on both local user similarity and global user similarity. Mach. Learn. 72(3), 231–245 (2008)

    Article  Google Scholar 

  • Masada, T., Takasu, A.: Extraction of topic evolutions from references in scientific articles and its gpu acceleration, (2012)

  • Newman, M.E.: Scientific collaboration networks. I. Network construction and fundamental results. Phys. Rev. E 64(1), 016131 (2001)

    Article  MathSciNet  Google Scholar 

  • Newman, M.E.: Coauthorship networks and patterns of scientific collaboration. Proc. Natl. Acad. Sci. 101(suppl 1), 5200–5205 (2004)

    Article  Google Scholar 

  • Shi, X., Leskovec, J., Mcfarland, D.A.: Citing for high impact, Joint Conference on Digital Libraries, (2010)

  • Sun, Y., Barber, R., Gupta, M., Aggarwal, C.C., Han, J.: Co-author relationship prediction in heterogeneous bibliographic networks, 2011 International Conference on Advances in Social Networks Analysis and Mining, pp. 121–128. IEEE (2011)

  • White, R.W., Jose, J.M.: A study of topic similarity measures, International Acm Sigir Conference on Research & Development in Information Retrieval, (2004)

  • Yap, I., Han, T.L., Shen, L., Liu, Y.: Topic detection using mfss. Adv. Appl. Artif. Intell. 4031, 342–352 (2006)

    Article  Google Scholar 

  • Zeng, J., Cheung, W.K., Li, C.h., Liu, J.: Coauthor network topic models with application to expert finding, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, vol. 1, pp. 366–373. IEEE (2010)

  • Zhang, Q., Feng, Z., Li, X., Zheng, X., Zhang, L.: 25 years of collaborations in ieee intelligent systems. IEEE Intell. Syst. 6, 67–75 (2010)

    Article  Google Scholar 

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Acknowledgements

This work was supported in part by the National Science Fund for Distinguished Young Scholars (No. 61725205), and the National Natural Science Foundation of China (Nos. 61960206008, 61772428, 61972319, 61902320).

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Authors and Affiliations

  1. Northwestern Polytechnical University, Xi’an, 710129, People’s Republic of China

    Qingyang Li, Zhiwen Yu, Fei Yi, Zhu Wang & Bin Guo

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  1. Qingyang Li
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  2. Zhiwen Yu
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  3. Fei Yi
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  4. Zhu Wang
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  5. Bin Guo
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Correspondence to Zhiwen Yu.

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Li, Q., Yu, Z., Yi, F. et al. Investigating collaboration in ubiquitous computing research. CCF Trans. Pervasive Comp. Interact. 2, 66–77 (2020). https://doi.org/10.1007/s42486-020-00029-z

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