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Turing number: how far are you to A. M. Turing award?

Published: 25 November 2020 Publication History

Abstract

The ACM A.M. Turing Award is commonly acknowledged as the highest distinction in the realm of computer science. Since 1960s, it has been awarded to computer scientists who made outstanding contributions. The significance of this award is far-reaching to the laureates as well as their research teams. However, unlike the Nobel Prize that has been extensively investigated, little research has been done to explore this most important award. To this end, we propose the Turing Number (TN) index to measure how far a specific scholar is to this award. Inspired by previous works on Erdos Number and Bacon Number, this index is defined as the shortest path between a given scholar to any Turing Award Laureate. Experimental results suggest that TN can reflect the closeness of collaboration between scholars and Turing Award Laureates. With the correlation analysis between TN and metrics from the bibliometric-level and network-level, we demonstrate that TN has the potential of reflecting a scholar's academic influence and reputation.

References

[1]
Bai, X., Pan, H., Hou, J., Guo, T., Lee, I., and Xia, F. 2020. Quantifying success in science: An overview. IEEE Access 8, 123200--123214.
[2]
Barabási, A.-L. and Albert, R. 1999. Emergence of scaling in random networks. Science 286, 5439, 509--512.
[3]
Bonacich, P. 1987. Power and centrality: A family of measures. American Journal of Sociology 92, 5, 1170--1182.
[4]
Fisher, L. M. 2017. Turing laureates celebrate award's 50 th anniversary. Communications of the ACM 60, 9, 20--23.
[5]
Goh, K.-I., Kahng, B., and Kim, D. 2001. Universal behavior of load distribution in scale-free networks. Physical Review Letters 87, 27, 278701.
[6]
Hanson, V. L. 2017. Celebrating 50 years of the turing award. Communications of the ACM 60, 2, 5--5.
[7]
Kong, X., Shi, Y., Wang, W., Ma, K., Wan, L., and Xia, F. 2019. The evolution of turing award collaboration network: Bibliometric-level and network-level metrics. IEEE Transactions on Computational Social Systems 6, 6, 1318--1328.
[8]
Kong, X., Zhang, J., Zhang, D., Bu, Y., Ding, Y., and Xia, F. 2020. The gene of scientific success. ACM Transactions on Knowledge Discovery from Data (TKDD) 14, 4, 1--19.
[9]
Liu, J., Ren, J., Zheng, W., Chi, L., Lee, I., and Xia, F. 2020. Web of scholars: A scholar knowledge graph. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2153--2156.
[10]
Liu, J., Xia, F., Wang, L., Xu, B., Kong, X., Tong, H., and King, I. 2019. Shifu2: A network representation learning based model for advisor-advisee relationship mining. IEEE Transactions on Knowledge and Data Engineering.
[11]
Newman, M. E. 2001a. Scientific collaboration networks. ii. shortest paths, weighted networks, and centrality. Physical Review E 64, 1, 016132.
[12]
Newman, M. E. 2001b. The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences 98, 2, 404--409.
[13]
Phillips, N. 2017. A close look at china's rise. Nature 545 7655, S39.
[14]
Ren, J., Wang, L., Wang, K., Yu, S., Hou, M., Lee, I., Kong, X., and Xia, F. 2019. Api: An index for quantifying a scholar's academic potential. IEEE Access 7, 178675--178684.
[15]
Rodríguez-Navarro, A. 2011. Measuring research excellence: Number of nobel prize achievements versus conventional bibliometric indicators. Journal of Documentation 67, 582--600.
[16]
Schlagberger, E. M., Bornmann, L., and Bauer, J. 2016. At what institutions did nobel laureates do their prize-winning work? an analysis of biographical information on nobel laureates from 1994 to 2014. Scientometrics 109, 2, 723--767.
[17]
Sinatra, R., Wang, D., Deville, P., Song, C., and Barabási, A.-L. 2016. Quantifying the evolution of individual scientific impact. Science 354, 6312, aaf5239.
[18]
Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., and Su, Z. 2008. Arnetminer: extraction and mining of academic social networks. In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 990--998.
[19]
Watts, D. J. and Strogatz, S. H. 1998. Collective dynamics of `small-world' networks. Nature 393, 6684, 440--442.
[20]
Zhang, J., Wang, W., Xia, F., Lin, Y.-R., and Tong, H. 2020. Data-driven computational social science: A survey. Big Data Research, 100145.

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Published In

cover image ACM SIGWEB Newsletter
ACM SIGWEB Newsletter  Volume 2020, Issue Autumn
Autumn 2020
48 pages
ISSN:1931-1745
EISSN:1931-1435
DOI:10.1145/3427478
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 November 2020
Published in SIGWEB Volume 2020, Issue Autumn

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  • (2025)Quantifying the degree of scientific innovation breakthrough: Considering knowledge trajectory change and impactInformation Processing & Management10.1016/j.ipm.2024.10393362:1(103933)Online publication date: Jan-2025
  • (2024)Anomalous citations detection in academic networksArtificial Intelligence Review10.1007/s10462-023-10655-557:4Online publication date: 29-Mar-2024
  • (2022)The significance and impact of winning an academic awardProceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries10.1145/3529372.3530913(1-11)Online publication date: 20-Jun-2022
  • (2022)CLARA: citation and similarity-based author rankingScientometrics10.1007/s11192-022-04590-5128:2(1091-1117)Online publication date: 7-Dec-2022
  • (2021)Graph Learning: A SurveyIEEE Transactions on Artificial Intelligence10.1109/TAI.2021.30760212:2(109-127)Online publication date: Apr-2021
  • (2021)Web of Students: Class-Level Friendship Network Discovery from Educational Big DataWeb Information Systems Engineering – WISE 202110.1007/978-3-030-90888-1_38(497-511)Online publication date: 26-Oct-2021
  • (2021)What Makes a Turing Award Winner?Social, Cultural, and Behavioral Modeling10.1007/978-3-030-80387-2_30(310-320)Online publication date: 6-Jul-2021

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