@inproceedings{7158c989be7e44c6ab396c7258c863cd,
title = "Network signatures of success: Emulating expert and crowd assessment in science, art, and technology",
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.",
author = "Igor Zakhlebin and Horv{\'a}t, {Em{\H o}ke {\'A}gnes}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 6th International Conference on Complex Networks and Their Applications, Complex Networks 2017 ; Conference date: 29-11-2017 Through 01-12-2017",
year = "2018",
doi = "10.1007/978-3-319-72150-7_36",
language = "English (US)",
isbn = "9783319721491",
series = "Studies in Computational Intelligence",
publisher = "Springer Verlag",
pages = "437--449",
editor = "Hocine Cherifi and Chantal Cherifi and Mirco Musolesi and M{\'a}rton Karsai",
booktitle = "Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications)",
}