research-article

People like us: mining scholarly data for comparable researchers

Authors:

Graham Cormode,

S. Muthukrishnan,

Jinyun YanAuthors Info & Claims

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

Pages 1227 - 1232

https://doi.org/10.1145/2567948.2579038

Published: 07 April 2014 Publication History

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Abstract

There are many situations that one needs to find comparable others for a given researcher. Examples include finding peer reviewers, programming committees for conferences, and comparable individual asked in recommendation letters for tenure evaluation. The task is often done on an ad hoc and informal basis. In this paper, we address an interesting problem that has not been adequately studied so far: mining cumulated large scale scholarly data to find comparable researchers.

We propose a standard to quantify the quality of individual's research output, through the quality of publishing venues. We represent a researcher as a sequence of her publication records, and develop methods to compute the distance between two researchers through sequence matching. Multiple variations of distances are considered to target different scenarios. We define comparable relation by the distance, and conduct experiments on a large corpus and demonstrate the effectiveness our methods through examples. In the end of the paper, we identify several promising directions for further work.

References

[1]

G. Cormode, S. Muthukrishnan, and J. Yan. Scienceography: the study of how science is written. In Fun with Algorithms, pages 379--391. Springer, 2012.

Digital Library

Google Scholar

[2]

L. Egghe. An improvement of the h-index: The g-index. ISSI newsletter, 2(1), 2006.

Google Scholar

[3]

E. Garfield. Citation analysis as a tool in journal evaluation. American Association for the Advancement of Science, 1972.

Crossref

Google Scholar

[4]

J. E. Hirsch. An index to quantify an individual's scientific research output. PNAS, 102(46), 2005.

Google Scholar

[5]

M. Hoffman, F. R. Bach, and D. M. Blei. Online learning for latent dirichlet allocation. In NIPS, pages 856--864, 2010.

Digital Library

Google Scholar

[6]

J. Leskovec, K. J. Lang, and M. Mahoney. Empirical comparison of algorithms for network community detection. In ACM WWW, pages 631--640, 2010.

Digital Library

Google Scholar

[7]

L. I. Meho. The rise and rise of citation analysis. Physics World, 2006.

Google Scholar

[8]

M. E. Newman. Coauthorship networks and patterns of scientific collaboration. PNAS, 101:5200--5205, 2004.

Crossref

Google Scholar

[9]

J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. Arnetminer: extraction and mining of academic social networks. In ACM SIGKDD, pages 990--998, 2008.

Digital Library

Google Scholar

[10]

R. A. Wagner and M. J. Fischer. The string-to-string correction problem. Journal of the ACM (JACM), 21(1), 1974.

Digital Library

Google Scholar

Cited By

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Liu JTang TWang WXu BKong XXia F(2018)A Survey of Scholarly Data VisualizationIEEE Access10.1109/ACCESS.2018.28150306(19205-19221)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2815030
Tsai CLin YBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Tracing and Predicting Collaboration for Junior ScholarsProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2890516(375-380)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2890516
Ribas SRibeiro-Neto BSantos Rde Souza e Silva EUeda AZiviani NAllan JCroft Bde Vries AZhai C(2015)Random Walks on the Reputation GraphProceedings of the 2015 International Conference on The Theory of Information Retrieval10.1145/2808194.2809462(181-190)Online publication date: 27-Sep-2015
https://dl.acm.org/doi/10.1145/2808194.2809462
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Index Terms

People like us: mining scholarly data for comparable researchers
1. Computing methodologies
  1. Machine learning

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Information

Published In

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

April 2014

1396 pages

ISBN:9781450327459

DOI:10.1145/2567948

General Chair:
Chin-Wan Chung
Korea Advanced Institute of Science and Technology, Korea
,
Program Chairs:
Andrei Broder
Google Inc., USA
,
Kyuseok Shim
Seoul National University, Korea
,
Torsten Suel
New York University, USA

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 April 2014

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WWW '14: 23rd International World Wide Web Conference

April 7 - 11, 2014

Seoul, Korea

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Liu JTang TWang WXu BKong XXia F(2018)A Survey of Scholarly Data VisualizationIEEE Access10.1109/ACCESS.2018.28150306(19205-19221)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2815030
Tsai CLin YBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Tracing and Predicting Collaboration for Junior ScholarsProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2890516(375-380)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2890516
Ribas SRibeiro-Neto BSantos Rde Souza e Silva EUeda AZiviani NAllan JCroft Bde Vries AZhai C(2015)Random Walks on the Reputation GraphProceedings of the 2015 International Conference on The Theory of Information Retrieval10.1145/2808194.2809462(181-190)Online publication date: 27-Sep-2015
https://dl.acm.org/doi/10.1145/2808194.2809462
Ribas SRibeiro-Neto Bde Souza e Silva EUeda AZiviani NGangemi ALeonardi SPanconesi A(2015)Using Reference Groups to Assess Academic Productivity in Computer ScienceProceedings of the 24th International Conference on World Wide Web10.1145/2740908.2741735(603-608)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2740908.2741735

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Recommendations

On the influence of uncited publications on a researcher’s h-index

Approaching the “reward triangle”: General analysis of the presence of funding acknowledgments and “peer interactive communication” in scientific publications

What can university administrators do to increase the publication and citation scores of their faculty members?

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