Skip to main content
SpringerLink
Log in

Toward citation recommender systems considering the article impact in the extended nearby citation network

  • Published:
Peer-to-Peer Networking and Applications Aims and scope Submit manuscript

Abstract

Authors and publishers use different metrics at various levels to estimate the impact of produced research, including the journal-level impact factor, the number of citations at an article-level and the H-index at an author-level. In this paper, we propose an approach to measure the Article Citation Impact (ACI) that will enable idenGEAtification of the impact of articles at their extended nearby citation network. We combine an article’s content with its bibliometrics to evaluate the citation impact of articles in their surrounding citation network. Using the article metadata, we calculate the semantic similarity between two articles in the extended network. The articles’ similarity and bibliometric scores are then used to assess the impact of the article among their extended nearby citation network. In our empirical studies, we use two datasets to validate the efficiency of our approach to evaluate the impact of articles on improving article recommendation processes. The experimental results highlight the effectiveness of the proposed approach to optimize the overall recommendation quality, compared to other baseline approaches.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Vogel R (2012) The Visible Colleges of Management and Organization Studies: A Bibliometric Analysis of Academic Journals. Organ Stud 33:1015–1043. https://doi.org/10.1177/0170840612448028

    Article  Google Scholar 

  2. Bornmann L, Marx W (2015) Methods for the generation of normalized citation impact scores in bibliometrics: Which method best reflects the judgements of experts? J Inf Secur 9:408–418. https://doi.org/10.1016/j.joi.2015.01.006

    Google Scholar 

  3. Musau F, Wang G, Abdullahi MB (2014) Group formation with neighbor similarity trust in P2P E-commerce. Peer-to-Peer Networking & Applications 7:295–310. https://doi.org/10.1007/s12083-011-0116-4

    Article  Google Scholar 

  4. Sula CA, Miller M (2014) Citations, contexts, and humanistic discourse: Toward automatic extraction and classification. Lit Ling Comput 29:452–464. https://doi.org/10.1093/llc/fqu019

    Article  Google Scholar 

  5. Alshareef A, Alhamid M, El Saddik A (2018) Article Impact Value for Nearby Citation Network Analysis. In: IEEE International Conference on Big Data and Smart Computing. IEEE, Shanghai, China

  6. Todeschini R, Baccini A (2016) Handbook of Bibliometric Indicators: Quantitative Tools for Studying and Evaluating Research

  7. van Wesel M (2016) Evaluation by Citation: Trends in Publication Behavior, Evaluation Criteria, and the Strive for High Impact Publications. Sci Eng Ethics 22:199–225. https://doi.org/10.1007/s11948-015-9638-0

    Article  Google Scholar 

  8. Waltman L (2016) A review of the literature on citation impact indicators. J Inf Secur 10:365–391

    Google Scholar 

  9. Moed HFH (2006) Citation analysis in research evaluation

  10. Thelwall M, Fairclough R (2015) The influence of time and discipline on the magnitude of correlations between citation counts and quality scores. J Inf Secur 9:529–541. https://doi.org/10.1016/j.joi.2015.05.006

    Google Scholar 

  11. Calma A, Davies M (2013) Studies in Higher Education 1976 – 2013 : a retrospective using citation network analysis. Stud High Educ 40:4–21. https://doi.org/10.1080/03075079.2014.977858

    Article  Google Scholar 

  12. Melero R (2015) Altmetrics --- A complement to conventional metrics. Biochem Med 25:152–160. https://doi.org/10.11613/BM.2015.016

    Article  Google Scholar 

  13. Gipp B, Meuschke N (2015) CITREC : An Evaluation Framework for Citation-Based Similarity Measures based on TREC Genomics and PubMed Central. Proc iConference 2015 24–27

  14. Lee S, Baker J, Song J, Wetherbe JC (2010) An Empirical Comparison of Four Text Mining Methods. 2010 43rd Hawaii Int Conf Syst Sci 1–10 . doi: https://doi.org/10.1109/HICSS.2010.48

  15. Hao-Di Li, Qing-Cai Chen, Xiao-Long Wang (2013) A combined measure for text semantic similarity. In: 2013 International Conference on Machine Learning and Cybernetics. IEEE, pp 1869–1873

  16. Rus V, Lintean M, Banjade R, et al (2013) SEMILAR : The Semantic Similarity Toolkit. In: Association for Computational Linguistics 2013. pp 163–168

  17. Li Y, Zhang J, Hu D (2010) Text Clustering Based on Domain Ontology and Latent Semantic Analysis. In: 2010 International Conference on Asian Language Processing. pp 21E9–222

  18. Van Eck NJ, Waltman L (2008) Appropriate similarity measures for author co-citation analysis. J Am Soc Inf Sci Technol 59:1653–1661. https://doi.org/10.1002/asi.20872

    Article  Google Scholar 

  19. Leydesdorff L (2005) Similarity measures, author cocitation analysis, and information theory. J Am Soc Inf Sci Technol 56:769–772. https://doi.org/10.1002/asi.20130

    Article  Google Scholar 

  20. Liu S, Chen C (2012) The proximity of co-citation. Scientometrics 91:495–511. https://doi.org/10.1007/s11192-011-0575-7

    Article  Google Scholar 

  21. Nassiri I, Masoudi-Nejad A, Jalili M, Moeini A (2013) Normalized Similarity Index: An adjusted index to prioritize article citations. J Inf Secur 7:91–98. https://doi.org/10.1016/j.joi.2012.08.006

    Google Scholar 

  22. Uddin S, Khan A (2016) The impact of author-selected keywords on citation counts. J Inf Secur 10:1166–1177. https://doi.org/10.1016/j.joi.2016.10.004

    Google Scholar 

  23. Abramo G, Cicero T, D’Angelo CA (2012) Revisiting the scaling of citations for research assessment. J Inf Secur 6:470–479. https://doi.org/10.1016/j.joi.2012.03.005

    Google Scholar 

  24. Yegros-Yegros A, Rafols I, D’Este P (2015) Does interdisciplinary research lead to higher citation impact? the different effect of proximal and distal interdisciplinarity. PLoS One 10:1–21. https://doi.org/10.1371/journal.pone.0135095

    Article  Google Scholar 

  25. Kaur J, Ferrara E, Menczer F et al (2015) Quality versus quantity in scientific impact. J Inf Secur 9:800–808. https://doi.org/10.1016/j.joi.2015.07.008

    Google Scholar 

  26. Jeong YK, Song M, Ding Y (2014) Content-based author co-citation analysis. J Inf Secur 8:197–211. https://doi.org/10.1016/j.joi.2013.12.001

    Google Scholar 

  27. Cavalcanti DC, Prudêncio RBC, Pradhan SS, et al (2011) Good to be bad? Distinguishing between positive and negative citations in scientific impact. Proc - Int Conf Tools with Artif Intell ICTAI 156–162 . doi: https://doi.org/10.1109/ICTAI.2011.32

  28. Fragkiadaki E, Evangelidis G (2013) Review of the indirect citations paradigm: theory and practice of the assessment of papers, authors and journals. Scientometrics:1–28. https://doi.org/10.1007/s11192-013-1175-5

  29. Sidiropoulos A, Manolopoulos Y (2005) A citation-based system to assist prize awarding. ACM SIGMOD Rec 34:54–60. https://doi.org/10.1145/1107499.1107506

    Article  Google Scholar 

  30. Sidiropoulos A, Manolopoulos Y (2006) Generalized comparison of graph-based ranking algorithms for publications and authors. J Syst Softw 79:1679–1700. https://doi.org/10.1016/j.jss.2006.01.011

    Article  Google Scholar 

  31. Ma N, Guan J, Zhao Y (2008) Bringing PageRank to the citation analysis. Inf Process Manag 44:800–810. https://doi.org/10.1016/j.ipm.2007.06.006

    Article  Google Scholar 

  32. Bornmann L, Haunschild R (2016) Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator. J Inf Secur 10:875–887. https://doi.org/10.1016/j.joi.2016.07.002

    Google Scholar 

  33. Hutchins BI, Yuan X, Anderson JM, Santangelo GM (2016) Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level. PLoS Biol 14:1–25. https://doi.org/10.1371/journal.pbio.1002541

    Article  Google Scholar 

  34. Abramo G, Cicero T, D’Angelo CA (2012) A sensitivity analysis of researchers’ productivity rankings to the time of citation observation. J Inf Secur 6:192–201. https://doi.org/10.1016/j.joi.2011.12.003

    Google Scholar 

  35. Colliander C (2015) A novel approach to citation normalization: A similarity-based method for creating reference sets. J Assoc Inf Sci Technol 66:489–500. https://doi.org/10.1002/asi.23193

    Article  Google Scholar 

  36. He Q, Kifer D, Pei J, et al (2011) Citation recommendation without author supervision. Proc fourth ACM Int Conf Web search data Min - WSDM ‘11 755 . doi: https://doi.org/10.1145/1935826.19E35926

  37. Giles CL (2014) RefSeer: Citation Recommendation System. 371–374

  38. Beel J, Gipp B, Langer S, Breitinger C (2015) Research-paper recommender systems: a literature survey. Int J Digit Libr. https://doi.org/10.1007/s00799-015-0156-0

  39. Sugiyama K, Kan MY (2010) Scholarly paper recommendation via user’s recent research interests. Proc 10th Annu Jt Conf Digit Libr 29–38 . doi: https://doi.org/10.1145/1816123.1816129

  40. Pera MS, Ng Y-K (2011) A personalized recommendation system on scholarly publications. Proc 20th ACM Int Conf Inf Knowl Manag - CIKM ‘11 2133 . doi: https://doi.org/10.1145/2063576.2063908

  41. Huang A (2008) Similarity measures for text document clustering. Proc Sixth New Zeal 49–56

  42. Martínez-Torres MR (2015) Content analysis of open innovation communities using latent semantic indexing. Tech Anal Strat Manag 27:859–875. https://doi.org/10.1080/09537325.2015.1020056

    Article  Google Scholar 

  43. Papadimitriou C, Tamaki H (1998) Latent semantic indexing: A probabilistic analysis. Proc seventeenth ACM SIGACT-SIGMOD-SIGART Symp Princ database Syst 159–168 . doi: https://doi.org/10.1006/jcss.2000.1711

  44. Basu C, Hirsh H, Cohen WW, Nevill-Manning C (2001) Technical paper recommendation: A study in combining multiple information sources. J Artif Intell Res 14:241–262. https://doi.org/10.1613/jair.739

    Article  MATH  Google Scholar 

  45. Bellogín A, Cantador I, Castells P (2010) A study of heterogeneity in recommendations for a social music service. Proc 1st Int Work Inf Heterog Fusion Recomm Syst HetRec 10 1–8 . doi: https://doi.org/10.1145/1869446.1869447

Download references

Author information

Authors and Affiliations

  1. Multimedia Communications Research Laboratory, University of Ottawa, Ottawa, Canada

    Abdulrhman M. Alshareef & Abdulmotaleb El Saddik

  2. Information System Department, FCIT, King Abdulaziz University, Jeddah, Saudi Arabia

    Abdulrhman M. Alshareef

  3. Software Engineering Department, CCIS, King Saud University, Riyadh, Saudi Arabia

    Mohammed F. Alhamid

Authors
  1. Abdulrhman M. Alshareef
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohammed F. Alhamid
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Abdulmotaleb El Saddik
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Abdulrhman M. Alshareef.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection: Special Issue on Big Data and Smart Computing in Network Systems

Guest Editors: Jiming Chen, Kaoru Ota, Lu Wang, and Jianping He

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alshareef, A.M., Alhamid, M.F. & El Saddik, A. Toward citation recommender systems considering the article impact in the extended nearby citation network. Peer-to-Peer Netw. Appl. 12, 1336–1345 (2019). https://doi.org/10.1007/s12083-018-0687-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12083-018-0687-4

Keywords

Search

Navigation