Altmetrics and Visualisation – The Complementary Tools for Analysing Scientific Collaboration and Behaviour on ResearchGate

Author: Veslava Osińska
Institution: Nicolaus Copernicus University in Toruń
Author: Grzegorz Osiński
Institution: College of Social and Media Culture in Toruń
Author: Tomasz Komendziński
Institution: Nicolaus Copernicus University in Toruń
Year of publication: 2015
Source: Show
Pages: 117-133
DOI Address: https://doi.org/10.15804/kie.2015.04.07
PDF: kie/110/kie11007.pdf

Altmetrics, as a new scientometric measure, shows the scholarly impact of a scientist and her/his social activity on social networking platforms. We analysed communication on ResearchGate within the group formed by Nicolaus Copernicus University different domains researchers. They share interest in information visualisation and form local collaboration team. We considered two compositions of research sample: the original team and the nearest collaborators. The common attributes of RG users such as coauthorship, skills set, topics, and ascribed domains were analysed. Based on these units, we carry out the sociographs to reveal social structure dynamics. Domain analysis was performed by the use of the PCA – the method which is able to extract the most essential factors from the variables set. The results indicate a good coincidence for these two approaches: collaboration between researchers and their skills development can significantly change their major. We strived to show that RG is a space of interdisciplinary training in building and identifying their own field research based on full text. Thus RG is a proper tool for crossdisciplinary qualitative analysis. Altmetrics and visualisation are mutually substituted and complemented devices, perceived as new tools for team science study. This requires, nevertheless, not only the use of appropriate tools, but also collecting a large dataset on global scientific activity within multidisciplinary groups.

REFERENCES:

  • Abdi H., Williams L.J., Principal component analysis, “Wiley Interdisciplinary Reviews: Computational Statistics” 2010, Vol. 2(4), pp. 433 – 459.
  • BarIlan J., Articles Tagged by ‘bibliometrics’ on Mendeley and CiteULike. Paper presented at the Metrics 2011 Symposium on Informetric and Scientometric Research.
  • BarIlan J., Haustein S., Peters I., Priem J., Shema H., Terliesner J., Beyond Citations: Scholars’ Visibility on the Social Web [in:] Proceedings of the 17th International Conference on Science and Technology Indicators 2012, Montréal, Canada, Vol. 1, pp. 98 – 109.
  • BarIlan J., Shema H., Thelwall M., Bibliographic References in Web 2.0. [in:] Bibliometrics and Beyond: MetricsBased Evaluation of Scholarly Research, B. Cronin, and C. Sugimoto (eds.) Cambridge: MIT Press 2014.
  • Bornman L., Alternative Metrics in Scientometrics: A MetaAnalysis of Research into Three Altmetrics, 2014, http://cybermetrics.cindoc.csic.es/articles/v16i1p1.html [Access date: 01.02.2015].
  • Chen Ch., Information Visualization. Beyond the Horizon, 2nd ed., London: Springer 2006, pp. 143 – 170.
  • Klavans R., Boyack K.W., Quantitative Evaluation of Large Maps of Science, “Scientometrics” 2006, Vol. 68(3), pp. 475 – 499.
  • Kulczycki E., Transformation of Science Communication in the Age of Social Media, “Teorie vědy/Theory of Science” 2013, Vol. 35(1), pp. 3 – 28.
  • Levene M., Fenner T., A Bibliometric Index Based on the Complete List of Cited Publications, “International Journal of Scientometrics, Informetrics and Bibliometrics” 2012, Vol. 16(1), http://cybermetrics.cindoc.csic.es/articles/v16i1p1.html [Access date: 01.02.2015].
  • Leydesdorff L., Goldstone R.L., Schank T., Betweenness Centrality and the Interdisciplinarity of Cognitive Science, http://www.cognitivesciencesociety.org/uploads/leydesdorff.htm, [Access date: 01.02.2015].
  • Osińska V., Bała P., Study of Dynamics of Structured Knowledge: Qualitative Analysis of Different Mapping Approaches, “Journal of Information Science” 2015, Vol.41(2), pp. 197 – 208.
  • Osińska V., Komendziński T., Scientists on Facebook. Visualisation of Socials Networks in Science. In: The contemporary faces of communication and information. The problems, research, hypothesis. E. Głowacka, M. Kowalska, P. Krysiński (eds.), Torun: UMK 2014, pp. 269 – 282.
  • Osińska V., Dreszer J., Osiński G., Gawarkiewicz M., Cognitive Approach in Classification Visualization: EndUsers Study [in:] Classification and Visualization: Interfaces to Knowledge, A. Slavic, A.A. Salah, S. Davies (eds.), Ergon Verlag 2013, pp. 273 – 281.
  • Shema H., BarIlan, J., Thelwall M., How Is Research Blogged? A Content Analysis Approach, “J Assn Inf Sci Tec” 2014, Vol. 65(5), pp. 1018 – 1027.
  • Stachowiak B., The Presence of Polish Academics on Social Networking Websites for Academics. Using the Example of Employees of Nicolaus Copernicus University, “Universal Journal of Educational Research” 2014, Vol. 2(1), pp. 6 4 – 68.

altmetrics sociometrics social networks analysis science visualisation PCA

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