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Ranking authors in digital libraries

Published: 13 June 2011 Publication History

Abstract

Searching for people with expertise on a particular topic also known as expert search is a common task in digital libraries. Most models for this task use only documents as evidence for expertise while ranking people. In digital libraries, other sources of evidence are available such as a document's association with venues and citation links with other documents. We propose graph-based models that accommodate multiple sources of evidence in a PageRank-like algorithm for ranking experts. Our studies on two publicly-available datasets indicate that our model despite being general enough to be directly useful for ranking other types of objects performs on par with probabilistic models commonly used for expert ranking.

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Cited By

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  • (2023)Machine Learning Based Approach for Future Prediction of Authors in Research AcademicsSN Computer Science10.1007/s42979-023-01692-64:3Online publication date: 1-Apr-2023
  • (2022)Modeling an author's specific expertise based on educational-related artifacts analysis2022 IEEE 16th International Scientific Conference on Informatics (Informatics)10.1109/Informatics57926.2022.10083457(208-213)Online publication date: 23-Nov-2022
  • (2022)Inequality and inequity in network-based ranking and recommendation algorithmsScientific Reports10.1038/s41598-022-05434-112:1Online publication date: 7-Feb-2022
  • Show More Cited By

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    cover image ACM Conferences
    JCDL '11: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
    June 2011
    500 pages
    ISBN:9781450307444
    DOI:10.1145/1998076
    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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    New York, NY, United States

    Publication History

    Published: 13 June 2011

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    Author Tags

    1. expertise search
    2. pagerank

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    • Research-article

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    JCDL '11
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    JCDL '11: Joint Conference on Digital Libraries
    June 13 - 17, 2011
    Ontario, Ottawa, Canada

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    Overall Acceptance Rate 415 of 1,482 submissions, 28%

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    JCDL '24
    The 2024 ACM/IEEE Joint Conference on Digital Libraries
    December 16 - 20, 2024
    Hong Kong , China

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    Cited By

    View all
    • (2023)Machine Learning Based Approach for Future Prediction of Authors in Research AcademicsSN Computer Science10.1007/s42979-023-01692-64:3Online publication date: 1-Apr-2023
    • (2022)Modeling an author's specific expertise based on educational-related artifacts analysis2022 IEEE 16th International Scientific Conference on Informatics (Informatics)10.1109/Informatics57926.2022.10083457(208-213)Online publication date: 23-Nov-2022
    • (2022)Inequality and inequity in network-based ranking and recommendation algorithmsScientific Reports10.1038/s41598-022-05434-112:1Online publication date: 7-Feb-2022
    • (2020)Expert Detection and Recommendation Model With User-Generated Tags in Collaborative Tagging SystemsJournal of Database Management10.4018/JDM.202010010231:4(24-45)Online publication date: 1-Oct-2020
    • (2020)Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challengesScientometrics10.1007/s11192-020-03683-3Online publication date: 28-Aug-2020
    • (2019)Author Impact: Evaluations, Predictions, and ChallengesIEEE Access10.1109/ACCESS.2019.29059557(38657-38669)Online publication date: 2019
    • (2018)Venue-Influence Language Models for Expert Finding in Bibliometric NetworksInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201807010914:3(184-201)Online publication date: 1-Jul-2018
    • (2018)Finding Research Areas of Academicians using Clique Percolation2018 14th International Conference on Emerging Technologies (ICET)10.1109/ICET.2018.8603549(1-6)Online publication date: Nov-2018
    • (2018)Ranking authors in academic social networks: a surveyLibrary Hi Tech10.1108/LHT-05-2017-009036:1(97-128)Online publication date: 19-Mar-2018
    • (2018)Understanding the advisor–advisee relationship via scholarly data analysisScientometrics10.1007/s11192-018-2762-2116:1(161-180)Online publication date: 4-May-2018
    • Show More Cited By

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