short-paper

Ranking Scientific Papers and Venues in Heterogeneous Academic Networks by Mutual Reinforcement

Authors:

Shengli WuAuthors Info & Claims

JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries

Pages 127 - 130

https://doi.org/10.1145/3197026.3197070

Published: 23 May 2018 Publication History

Abstract

Evaluating papers and venues objectively and fairly is a vital and challenging task for scientists, research organizations, and research funding bodies alike. Recently, heterogeneous networks have been used to evaluate papers, authors and venues separately or simultaneously. However, most of the approaches treat all the papers in the citation network equally and ignore the prestige of citing venues and citation time intervals. In this paper, we propose a new framework, MR-Rank, which ranks papers and venues iteratively in a mutually reinforcing way. Several factors including citation time interval, recent performance of a venue, and contribution of a paper to its venue are considered at the same time. Based on the ACL dataset, our experiments show that MR-Rank outperforms other models in terms of ranking effectiveness and efficiency.

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Cited By

Fang MBan Z(2023)Research on Predicting the Impact of Venue Based on Academic Heterogeneous NetworkWeb Information Systems and Applications10.1007/978-981-99-6222-8_16(185-197)Online publication date: 9-Sep-2023
https://doi.org/10.1007/978-981-99-6222-8_16
Yu SXia FZhang CWei HKeogh KChen H(2022)Familiarity-Based Collaborative Team Recognition in Academic Social NetworksIEEE Transactions on Computational Social Systems10.1109/TCSS.2021.31290549:5(1432-1445)Online publication date: Oct-2022
https://doi.org/10.1109/TCSS.2021.3129054
Huang CFang YLin XCao XZhang WOrlowska M(2022)Estimating Node Importance Values in Heterogeneous Information Networks2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00068(846-858)Online publication date: May-2022
https://doi.org/10.1109/ICDE53745.2022.00068
Show More Cited By

Index Terms

Ranking Scientific Papers and Venues in Heterogeneous Academic Networks by Mutual Reinforcement
1. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Data analytics

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Published In

cover image ACM Conferences

JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries

May 2018

453 pages

ISBN:9781450351782

DOI:10.1145/3197026

General Chairs:
Jiangping Chen
College of Information, UNT, USA
,
Marcos André Gonçalves
, Brazil
,
Jeff M. Allen
College of Information, UNT, USA
,
Program Chairs:
Edward A. Fox
Virginia Tech, USA
,
Min-Yen Kan
National University of Singapore, Singapore
,
Vivien Petras
Humboldt-Universität zu Berlin, Germany

Copyright © 2018 ACM.

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2018

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Funding Sources

Natural Science Foundation of Jiangsu Province of China

Conference

JCDL '18

Sponsor:

JCDL '18: The 18th ACM/IEEE Joint Conference on Digital Libraries

June 3 - 7, 2018

Texas, Fort Worth, USA

Acceptance Rates

JCDL '18 Paper Acceptance Rate 26 of 71 submissions, 37%;

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

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Cited By

Fang MBan Z(2023)Research on Predicting the Impact of Venue Based on Academic Heterogeneous NetworkWeb Information Systems and Applications10.1007/978-981-99-6222-8_16(185-197)Online publication date: 9-Sep-2023
https://doi.org/10.1007/978-981-99-6222-8_16
Yu SXia FZhang CWei HKeogh KChen H(2022)Familiarity-Based Collaborative Team Recognition in Academic Social NetworksIEEE Transactions on Computational Social Systems10.1109/TCSS.2021.31290549:5(1432-1445)Online publication date: Oct-2022
https://doi.org/10.1109/TCSS.2021.3129054
Huang CFang YLin XCao XZhang WOrlowska M(2022)Estimating Node Importance Values in Heterogeneous Information Networks2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00068(846-858)Online publication date: May-2022
https://doi.org/10.1109/ICDE53745.2022.00068
Khalid SWu SWahid AAlam AUllah I(2021)An Effective Scholarly Search by Combining Inverted Indices and Structured Search With Citation Networks AnalysisIEEE Access10.1109/ACCESS.2021.31079399(120210-120226)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3107939
Zhang FWu S(2021)Measuring academic entities’ impact by content-based citation analysis in a heterogeneous academic networkScientometrics10.1007/s11192-021-04063-1Online publication date: 23-Jun-2021
https://doi.org/10.1007/s11192-021-04063-1
Zhang FWu S(2020)Predicting future influence of papers, researchers, and venues in a dynamic academic networkJournal of Informetrics10.1016/j.joi.2020.10103514:2(101035)Online publication date: May-2020
https://doi.org/10.1016/j.joi.2020.101035
Kanellos IVergoulis TSacharidis DDalamagas TVassiliou Y(2019)Impact-Based Ranking of Scientific Publications: A Survey and Experimental EvaluationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.2941206(1-1)Online publication date: 2019
https://doi.org/10.1109/TKDE.2019.2941206
Keselman LDownie SZhu QHahn J(2019)Venue analyticsProceedings of the 18th Joint Conference on Digital Libraries10.1109/JCDL.2019.00052(315-324)Online publication date: 2-Jun-2019
https://dl.acm.org/doi/10.1109/JCDL.2019.00052
Shi CWang HChen BLiu YZhou Z(2019)Visual Analysis of Citation Context-Based Article Influence RankingIEEE Access10.1109/ACCESS.2019.29320517(113853-113866)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2932051

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