Skip to main content

A Disciplinary Analysis of Internet Science

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9089))

Abstract

Internet Science is an interdisciplinary field. Motivated by the unforeseen scale and impact of the Internet, it addresses Internet-related research questions in a holistic manner, incorporating epistemologies from a broad set of disciplines. Nonetheless, there is little empirical evidence of the levels of disciplinary representation within this field.

This paper describes an analysis of the presence of different disciplines in Internet Science based on techniques from Natural Language Processing and network analysis. Key terms from Internet Science are identified, as are nine application contexts. The results are compared with a disciplinary analysis of Web Science, showing a surprisingly low amount of overlap between these two related fields. A practical use of the results within Internet Science is described. Finally, next steps are presented that will consolidate the analysis regarding representation of less technologically-oriented disciplines within Internet Science.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   34.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Network of Excellence in Internet Science, Grant agreement 288021, Description of Work (December 06, 2011)

    Google Scholar 

  2. Hooper, C.J., Dix, A.: Web science and human-computer interaction: forming a mutually supportive relationship. ACM Interactions 20(3), 52–57 (2013)

    Article  Google Scholar 

  3. Dini, P., Sartori, L.: Science as Social Construction. In: International Conference on Internet Science, pp. 42–51 (2013)

    Google Scholar 

  4. Guevara, K., Blackwell, A.: A Reflective Examination of a Process for Innovation and Collaboration in Internet Science. In: International Conference on Internet Science, pp. 37–46 (2013)

    Google Scholar 

  5. Hooper, C.J., Millard, D.E., Azman, A.: Interdisciplinary Coups to Calamities (work-shop). In: Web Science, Bloomington, Indiana, USA (2014)

    Google Scholar 

  6. Hooper, C.J., Bordea, G., Buitelaar, P.: Web Science and the Two (Hundred) Cultures: Representation of Disciplines Publishing in Web Science. In: ACM Web Science, Paris, France (2013)

    Google Scholar 

  7. Lungeanu, A.: Understanding the assembly of interdisciplinary teams. Journal of Informetrics 8(1), 59–70 (2014)

    Article  Google Scholar 

  8. Callon, M., Cortial, J., Turner, W., Bauin, S.: From Translations To Problematic Networks – An Introduction To Co-Word Analysis. Social Science Information 22(2), 191–235 (1983)

    Article  Google Scholar 

  9. Chen, C., Carr, L.: Trailblazing the literature of hypertext: author co-citation analysis (1989–1998). In: 10th ACM Conference on Hypertext and Hypermedia (1999)

    Google Scholar 

  10. Henry, N., Goodell, H., Elmqvit, N., Fekete, J.: 20 Years of 4 HCI Conferences: A Visual Exploration. International Journal of Human Computer Interaction - Reflections on Human-Computer Interaction 23(3), 239–285 (2007)

    Article  Google Scholar 

  11. Nagel, T., Duval, E., Heidmann, F.: Exploring the Geospatial Network of Scientific Collaboration on a Multitouch Table. In: 22nd ACM Conference on Hypertext and Hypermedia, demo (2011)

    Google Scholar 

  12. Coulter, N., Monarch, I., Konda, S.: Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science 49(13), 1206–1223 (1998)

    Article  Google Scholar 

  13. Bordea, G., Buitelaar, P.: DERIUNLP: A context based approach to automatic keyphrase extraction. In: Proceedings of the 5th International Workshop on Semantic Evaluation, Stroudsburg, PA, USA (2010)

    Google Scholar 

  14. Lopez-Herrera, A., Cobo, M., Herrera-Viedma, E., Herrera, F.: A bibliometric study about the reseach based on hybridating the fuzzy logic field and the other computational intelligent techniques: A visual approach. International Journal of Hybrid Intelligent Systems 7(1), 17–32 (2010)

    MATH  Google Scholar 

  15. Wang, Z.Y., Li, G., Li, C.Y., Li, A.: Research on the semantic-based co-word analysis. Scientometrics 90(3), 855–875 (2012)

    Article  Google Scholar 

  16. Ananiadou, S.: A methodology for automatic term recognition. In: The 15th Conference on Computational Linguistics (1994)

    Google Scholar 

  17. Velardi, P., Sclano, F.: Termextractor: a web application to learn the common terminology of interest groups and research communities. In: 7th Conference on Terminologie et Intelligence Artificielle (2007)

    Google Scholar 

  18. Zhang, Z., Iria, J., Brewster, C., Ciravegna, F.: A comparative evaluation of term recognition algorithms. In: Proceedings of the Sixth International Conference on Language Resources and Evaluation, Marrakech, Morocco (2008)

    Google Scholar 

  19. Bordea, G., Buitelaar, P., Polajnar, T.: Domain-independent term extraction through domain modelling. In: The 10th International Conference on Terminology and Artificial Intelligence, Paris, France (2013)

    Google Scholar 

  20. Hooper, C., Marie, N., Kalampokis, E.: Dissecting the Butterfly: Representation of Disciplines Publishing at the Web Science Conference Series. In: Proc. ACM WebSci 2012 (2012)

    Google Scholar 

  21. Kraker, P., Jack, K., Schloegl, C., Trattner, C., Lindstaedt, S.: Head Start: Improving Academic Literature Search with Overview Visualizations based on Readership Statistics. In: Proc. ACM WebSci 2013 (2013)

    Google Scholar 

  22. Sahal, A., Wyatt, S., Passi, S., Scharnhorst, A.: Mapping EINS–An exercise in mapping the Network of Excellence in Internet Science. In: The 1st International Conference on Internet Science (2013)

    Google Scholar 

  23. Monaghan, F., Bordea, G., Samp, K., Buitelaar, P.: Exploring Your Research: Sprinkling some Saffron on Semantic Web Dog Food. In: Semantic Web Challenge at the International Semantic Web Conference (2010)

    Google Scholar 

  24. Bordea, G.: Domain adaptive extraction of topical hierarchies for Expertise Mining (Doctoral dissertation) (2013)

    Google Scholar 

  25. Navigli, R., Velardi, N., Faralli, S.: A graph-based algorithm for inducing lexical taxonomies from scratch. In: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (2011)

    Google Scholar 

  26. Barthélémy, M.: Betweenness centrality in large complex networks. The European Physical Journal B - Condensed Matter and Complex Systems 38(4), 163–168 (2004)

    Article  Google Scholar 

  27. Blondel, V.D., Guillaume, J.-L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 2008(10), P10008 (2008)

    Google Scholar 

  28. Fdidia, S., Tiropanis, T., Brown, I., Marsden, C., Salamatian, K.: 1st International Workshop on Internet Science and Web Science Synergies. In: ACM Web Science 2013, Paris, France (2013)

    Google Scholar 

  29. Hooper, C.J. (ed.): EINS Deliverable 2.1.2: Repository of methodologies, design tools and use cases. Network of Excellence in Internet Science FP7-288021 (2014)

    Google Scholar 

  30. Hooper, C.J., Hedge, N., Hutchison, D., Papadimitrious, D., Passarella, A., Sourlas, V., Wuchner, P.: EINS Deliverable 2.3: Whitepaper on recommendations for funding agencies. Network of Excellence in Internet Science FP7-288021 (2014)

    Google Scholar 

  31. Stavrakakis, I., Hutchison, D.: EINS Deliverable 13.2.1: Internet Science - Going Forward: Internet Science Roadmap (Preliminary Version). Network of Excellence in Internet Science FP7-288021 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Clare J. Hooper .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Hooper, C.J., Neves, B., Bordea, G. (2015). A Disciplinary Analysis of Internet Science. In: Tiropanis, T., Vakali, A., Sartori, L., Burnap, P. (eds) Internet Science. INSCI 2015. Lecture Notes in Computer Science(), vol 9089. Springer, Cham. https://doi.org/10.1007/978-3-319-18609-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-18609-2_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18608-5

  • Online ISBN: 978-3-319-18609-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics