Network signatures of success

Emulating expert and crowd assessment in science, art, and technology

Igor Zakhlebin*, Emoke-Agnes Horvat

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The success of scientific, artistic, and technological works is typically judged by human experts and the public. Recent empirical literature suggests that exceptionally creative works might have distinct patterns of citation. Given the recent availability of large citation and reference networks, we investigate how highly successful works differ from less successful ones in terms of a broad selection of centrality indices. Our experiments show that expert opinion is better emulated than popular judgment even with a single well-chosen index. Our findings further provide insights into otherwise implicit assumptions about indicators of success by evaluating the success of works based on the patterns of references that they receive.

Original languageEnglish (US)
Title of host publicationComplex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications)
EditorsHocine Cherifi, Chantal Cherifi, Mirco Musolesi, Márton Karsai
PublisherSpringer Verlag
Pages437-449
Number of pages13
ISBN (Print)9783319721491
DOIs
StatePublished - Jan 1 2018
Event6th International Conference on Complex Networks and Their Applications, Complex Networks 2017 - Lyon, France
Duration: Nov 29 2017Dec 1 2017

Publication series

NameStudies in Computational Intelligence
Volume689
ISSN (Print)1860-949X

Other

Other6th International Conference on Complex Networks and Their Applications, Complex Networks 2017
CountryFrance
CityLyon
Period11/29/1712/1/17

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ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Zakhlebin, I., & Horvat, E-A. (2018). Network signatures of success: Emulating expert and crowd assessment in science, art, and technology. In H. Cherifi, C. Cherifi, M. Musolesi, & M. Karsai (Eds.), Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications) (pp. 437-449). (Studies in Computational Intelligence; Vol. 689). Springer Verlag. https://doi.org/10.1007/978-3-319-72150-7_36
Zakhlebin, Igor ; Horvat, Emoke-Agnes. / Network signatures of success : Emulating expert and crowd assessment in science, art, and technology. Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). editor / Hocine Cherifi ; Chantal Cherifi ; Mirco Musolesi ; Márton Karsai. Springer Verlag, 2018. pp. 437-449 (Studies in Computational Intelligence).
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abstract = "The success of scientific, artistic, and technological works is typically judged by human experts and the public. Recent empirical literature suggests that exceptionally creative works might have distinct patterns of citation. Given the recent availability of large citation and reference networks, we investigate how highly successful works differ from less successful ones in terms of a broad selection of centrality indices. Our experiments show that expert opinion is better emulated than popular judgment even with a single well-chosen index. Our findings further provide insights into otherwise implicit assumptions about indicators of success by evaluating the success of works based on the patterns of references that they receive.",
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Zakhlebin, I & Horvat, E-A 2018, Network signatures of success: Emulating expert and crowd assessment in science, art, and technology. in H Cherifi, C Cherifi, M Musolesi & M Karsai (eds), Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). Studies in Computational Intelligence, vol. 689, Springer Verlag, pp. 437-449, 6th International Conference on Complex Networks and Their Applications, Complex Networks 2017, Lyon, France, 11/29/17. https://doi.org/10.1007/978-3-319-72150-7_36

Network signatures of success : Emulating expert and crowd assessment in science, art, and technology. / Zakhlebin, Igor; Horvat, Emoke-Agnes.

Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). ed. / Hocine Cherifi; Chantal Cherifi; Mirco Musolesi; Márton Karsai. Springer Verlag, 2018. p. 437-449 (Studies in Computational Intelligence; Vol. 689).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Zakhlebin I, Horvat E-A. Network signatures of success: Emulating expert and crowd assessment in science, art, and technology. In Cherifi H, Cherifi C, Musolesi M, Karsai M, editors, Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). Springer Verlag. 2018. p. 437-449. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-319-72150-7_36