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SciTo Trends: Visualising Scientific Topic Trends

Part of the Lecture Notes in Computer Science book series (LNISA,volume 11799)

Abstract

Monitoring trends in scientific disciplines is a common task for researchers and other professionals in the broad research and academic community, like research and innovation policy makers and research fund managers. We demonstrate SciTo, a powerful tool that assists in the monitoring of trends in scientific disciplines. SciTo supports keyword-based search for the identification of scientific topics of interest and comparison of interesting topics to each other in terms of their popularity inside the academic community.

Keywords

  • Information retrieval
  • Scientific impact
  • Topic modeling

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Fig. 1.

Notes

  1. 1.

    https://scholar.google.com/.

  2. 2.

    https://aminer.org/.

  3. 3.

    https://www.semanticscholar.org.

  4. 4.

    https://citeseerx.ist.psu.edu.

  5. 5.

    https://trend.aminer.org/.

  6. 6.

    https://www.csullender.com/scholar/.

  7. 7.

    https://app.dimensions.ai.

  8. 8.

    http://scito.imsi.athenarc.gr.

  9. 9.

    http://opencitations.net/download.

  10. 10.

    https://www.crossref.org/services/metadata-delivery/rest-api/.

  11. 11.

    https://www.openacademic.ai/oag/.

  12. 12.

    https://radimrehurek.com/gensim/.

  13. 13.

    http://lucene.apache.org/solr/.

References

  1. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. JMLR 3, 993–1022 (2003)

    MATH  Google Scholar 

  2. Ghosh, R., Kuo, T.T., Hsu, C.N., Lin, S.D., Lerman, K.: Time-aware ranking in dynamic citation networks. In: IEEE ICDMW, pp. 373–380. IEEE (2011)

    Google Scholar 

  3. Sinha, A., et al.: An overview of Microsoft Academic Service (MAS) and applications. In: WWW, pp. 243–246 (2015)

    Google Scholar 

  4. Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: ArnetMiner: extraction and mining of academic social networks. In: ACM SIGKDD, pp. 990–998 (2008)

    Google Scholar 

  5. Wu, J., et al.: CiteSeerX: AI in a digital library search engine. AI Mag. 36(3), 35–48 (2015)

    CrossRef  Google Scholar 

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Acknowledgments

We acknowledge support of this work by the project “Moving from Big Data Management to Data Science” (MIS 5002437/3) which is implemented under the Action “Re-inforcement of the Research and Innovation Infrastructure”, funded by the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014–2020) and co-financed by Greece and the European Union (European Regional Development Fund).

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Correspondence to Thanasis Vergoulis .

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Chatzopoulos, S., Deligiannis, P., Vergoulis, T., Kanellos, I., Tryfonopoulos, C., Dalamagas, T. (2019). SciTo Trends: Visualising Scientific Topic Trends. In: Doucet, A., Isaac, A., Golub, K., Aalberg, T., Jatowt, A. (eds) Digital Libraries for Open Knowledge. TPDL 2019. Lecture Notes in Computer Science(), vol 11799. Springer, Cham. https://doi.org/10.1007/978-3-030-30760-8_41

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  • DOI: https://doi.org/10.1007/978-3-030-30760-8_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30759-2

  • Online ISBN: 978-3-030-30760-8

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