Abstract
In an academic field as diverse as Social Informatics, identifying current and emergent topics presents a significant challenge to individuals and institutions alike. Several approaches based on keyword assignment and visualizing co-occurrence networks have already been described with the goal of providing insight into topical and geographical clusters of publications, authors or institutions. This work identifies a few key challenges to the aforementioned methods and proposes an interdisciplinary approach based on qualitative text analysis to assign keywords to research institutions and quantitatively explore them by building interactive co-occurrence and research focus parallelship networks. The proposed technique is then applied to the field of Social Informatics by identifying more than a hundred organizations worldwide within that domain, coding them with keywords based on research group titles, online self-descriptions and affiliated publications, and creating an online tool to generate interactive co-occurrence, network neighbourhood and research focus parallelship visualizations.
Notes
- 1.
A website was considered outdated if no changes had been done for more than 2Â years.
- 2.
Available at http://orgs.cisvienna.com.
- 3.
- 4.
cf. http://sigmajs.org.
References
Abello, J., Van Ham, F., Krishnan, N.: ASK-graphview: a large scale graph visualization system. IEEE Trans. Visual. Comput. Graphics 12(5), 669–676 (2006)
Barnes, J., Hut, P.: A hierarchical o(n log n) force-calculation algorithm. Nature 324(6096), 446–449 (1986)
Bastian, M., Heymann, S., Jacomy, M.: An open source software for exploring and manipulating networks. In: Third International AAAI Conference on Weblogs and Social Media, pp. 361–362 (2009)
Bhattacharya, S., Basu, P.: Mapping a research area at the micro level using co-word analysis. Scientometrics 43, 359–372 (2006)
Brass, D., Burkhardt, M.E.: Centrality and power in organizations. In: Networks and Organizations: Structure, Form, and Action, pp. 191–215 (1992)
Brown, K.R., Otasek, D., Ali, M., McGuffin, M.J., Xie, W., Devani, B., van Toch, I.L., Jurisica, I.: NAViGaTOR: network analysis, visualization and graphing Toronto. Bioinformatics 25(24), 3327–3329 (2009)
Cambrosio, A., Keating, P., Mercier, S., Lewison, G., Mogoutov, A.: Mapping the emergence and development of translational cancer research. Eur. J. Cancer 42(18), 3140–3148 (2006)
Freeman, L.C.: Centrality in social networks conceptual clarification. Soc. Netw. 1(3), 215–239 (1978)
Goebel, R.: Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science LNAI Series Editors (2011)
Hu, M., Wongsuphasawat, K., Stasko, J.: Visualizing social media content with sententree. IEEE Trans. Vis. Comput. Graphics 23(1), 621–630 (2017)
Hu, Z., Mellor, J., Wu, J., DeLisi, C.: VisANT: an online visualization and analysis tool for biological interaction data. BMC Bioinformatics 5, 17–17 (2004)
Jacomy, M., Venturini, T., Heymann, S., Bastian, M.: ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi Software (2014)
Kushima, M., Araki, K., Suzuki, M., Araki, S., Nikama, T.: Graphic visualization of the co-occurrence analysis network of lung cancer in-patient nursing record. In: 2010 International Conference on Information Science and Applications, pp. 1–8. IEEE (2010)
Lee, P.C., Su, H.N.: Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis. Innov.: Manage., Policy Pract. 12(1), 26–40 (2010)
Lee, W.H.: How to identify emerging research fields using scientometrics: an example in the field of information security. Scientometrics 76(3), 503–525 (2008)
Lehmann, S., Schwartz, M., Hansen, L.K.: Biclique communities. Phys. Rev. E 78(1), P09008–9 (2008)
Leicht, E.A., Holme, P., Newman, M.E.J.: Vertex similarity in networks. arXiv.org, (2):P10012 (2005)
Mayring, P.: Qualitative Inhaltsanalyse (2010)
Melin, G., Persson, O.: Studying research collaboration using co-authorships. Scientometrics 36(3), 363–377 (1996)
Pereira, C.: Informatics education in Europe: Institutions, degrees, students, positions, salaries. Technical report, Informatics Europe, Zrich (2016)
Persson, O., Beckmann, M.: Locating the network of interacting authors in scientific specialties. Scientometrics 33(3), 351–366 (1995)
Peters, H.P.F., Vanraan, A.F.J.: Co-word-based science maps of chemical-engineering 1. representations by direct multidimensional-scaling. Res. Policy 22(1), 47–71 (1993)
Reh, A., Gusenbauer, C., Kastner, J., Groller, M.E., Heinzl, C.: MObjects-a novel method for the visualization and interactive exploration of defects in industrial XCT data. IEEE Trans. Vis. Comput. Graphics 19(12), 2906–2915 (2013)
Rip, A., Courtial, J.P.: Co-word maps of biotechnology: an example of cognitive scientometrics. Scientometrics 6(6), 381–400 (1984)
Roy, S.: Effectiveness of JavaScript graph visualization libraries in visualizing gene regulatory networks (GRN) (2015)
Siddiqi, S., Sharan, A.: Keyword and keyphrase extraction techniques: a literature review. Int. J. Comput. Appl. 109(2), 18–23 (2015)
Small, H.: Visualizing science by citation mapping. J. Am. Soc. Inf. Sci. 50(9), 799–813 (1999)
Su, H.N., Lee, P.C.: Knowledge map of publications in research policy. In: PICMET: Portland International Center for Management of Engineering and Technology, Proceedings, pp. 2507–2516 (2009a)
Su, H.-N., Lee, P.-C.: Knowledge map of publications in research policy. In: PICMET 2009 - 2009 Portland International Conference on Management of Engineering & Technology, pp. 2507–2516. IEEE (2009b)
Su, H.N., Lee, P.C.: Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in technology foresight. Scientometrics 85(1), 65–79 (2010)
Wang, H., Azuaje, F., Black, N.: An integrative and interactive framework for improving biomedical pattern discovery and visualization. IEEE Trans. Inf. Technol. Biomed. 8(1), 16–27 (2004)
Wu, W., Xu, J., Zeng, H., Zheng, Y., Qu, H., Ni, B., Yuan, M., Ni, L.M.: TelCoVis: Visual exploration of co-occurrence in urban human mobility based on Telco data. IEEE Trans. Vis. Comput. Graphics 22(1), 935–944 (2016)
Zhu, L., Liu, X., He, S., Shi, J., Pang, M.: Keywords co-occurrence mapping knowledge domain research base on the theory of big data in oil and gas industry. Scientometrics 105(1), 249–260 (2015)
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Cech, F. (2017). Exploring Emerging Topics in Social Informatics: An Online Real-Time Tool for Keyword Co-Occurrence Analysis. In: Ciampaglia, G., Mashhadi, A., Yasseri, T. (eds) Social Informatics. SocInfo 2017. Lecture Notes in Computer Science(), vol 10540. Springer, Cham. https://doi.org/10.1007/978-3-319-67256-4_42
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