Encyclopedia of Social Network Analysis and Mining

2018 Edition
| Editors: Reda Alhajj, Jon Rokne

Scholarly Network Analysis

  • Erjia Yan
  • Ying Ding
Reference work entry
DOI: https://doi.org/10.1007/978-1-4939-7131-2_249



Node (in scholarly networks)

Units such as words, papers, patents, authors, journals, institutions, fields, and countries

Edge (in scholarly networks)

Citation, co-citation, co-word, coauthor, bibliographic coupling, hybrid, or heterogeneous relations

Scholarly network

The combination of edge properties and node properties defines a scholarly network

Macro-level approach

Statistics that are used to identify the global structural features of networks, including component, bicomponent, shortest distance, clustering coefficient, degree distribution, and error and attack tolerance

Meso-level approach

Approaches that focus on the behaviors of a group of actors, including topic identification and community detection

Microlevel approach

Indicators that are useful to understand individual node’s power,...

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  1. Bergstrom CT, West JD (2008) Assessing citations with the Eigenfactor™ metrics. Neurology 71(23):1850–1851CrossRefGoogle Scholar
  2. Bettencourt LMA, Kaiser DI, Kaur J, Castillo-Chávez C, Wojick DE (2008) Population modeling of the emergence and development of scientific fields. Scientometrics 75(3):495–518CrossRefGoogle Scholar
  3. Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3(4–5):993–1033zbMATHGoogle Scholar
  4. Bollen J, Rodriguez MA, Van de Sompel H (2006) Journal status. Scientometrics 69(3):669–687CrossRefGoogle Scholar
  5. Boyack KW, Klavans AR, Börner K (2005) Mapping the backbone of science. Scientometrics 64(3):351–374CrossRefGoogle Scholar
  6. Brin S, Page L (1998) The anatomy of a large-scale hypertextual web search engine. Comput Netw ISDN Syst 30(117):107CrossRefGoogle Scholar
  7. Cowan R, Jonard N (2004) Network structure and the diffusion of knowledge. J Econ Dyn Control 28(8):1557–1575MathSciNetzbMATHCrossRefGoogle Scholar
  8. Freeman LC (1979) Centrality in social networks: conceptual clarification. Soc Netw 1(3):215–239MathSciNetCrossRefGoogle Scholar
  9. Herrera M, Roberts DC, Gulbahce N (2010) Mapping the evolution of scientific fields. PLoS ONE 5(5):6CrossRefGoogle Scholar
  10. Hirsch JE (2005) An index to quantify an individual’s scientific research output. Proc Natl Acad Sci USA 102(46):16569–16572zbMATHCrossRefGoogle Scholar
  11. Jaffe AB, Trajtenberg M, Henderson AD (1993) Geographical localization of knowledge spillovers by patent citations. Q J Econ 108(3):577–599CrossRefGoogle Scholar
  12. Kessler MM (1963) Bibliographic coupling between scientific papers. Am Doc 14(1):10–25CrossRefGoogle Scholar
  13. Kiss IZ, Broom M, Craze PG, Rafols I (2010) Can epidemic models describe the diffusion of topics across disciplines? J Informet 4(1):74–82CrossRefGoogle Scholar
  14. Leydesdorff L, Persson O (2010) Mapping the geography of science: distribution patterns and networks of relations among cities and institutes. J Am Soc Inf Sci Technol 61(8):1622–1634Google Scholar
  15. Newman MEJ (2003) The structure and function of complex networks. SIAM Rev 45(2):167–256MathSciNetzbMATHCrossRefGoogle Scholar
  16. Newman M, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 69(2):026113CrossRefGoogle Scholar
  17. Nooy W, Mrvar A, Batagelj V (2005) Exploratory social network analysis with Pajek. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  18. Pinski G, Narin F (1976) Citation influence for journal aggregates of scientific publications: theory, with application to the literature of physics. Inf Process Manag 12(5):297–312CrossRefGoogle Scholar
  19. Porter AL, Roessner JD, Cohen AS, Perreault M (2006) Interdisciplinary research: meaning, metrics and nurture. Res Eval 15(3):187–195CrossRefGoogle Scholar
  20. Radicchi F, Fortunato S, Markines B, Vespignani A (2009) Diffusion of scientific credits and the ranking of scientists. Phys Rev E 80(5):056103CrossRefGoogle Scholar
  21. Rafols I, Meyer M (2010) Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience. Scientometrics 82(2):263–287CrossRefGoogle Scholar
  22. Rinia EJ, Van Leeuwen TN, Bruins EEW, Van Vuren HG, Van Raan AFJ (2002) Measuring knowledge transfer between fields of science. Scientometrics 54(3):347–362CrossRefGoogle Scholar
  23. Rosvall M, Bergstrom CT (2008) Maps of information flow reveal community structure in complex networks. Proc Natl Acad Sci USA 105(4):1118–1123CrossRefGoogle Scholar
  24. SCImago (2007) SJR: SCImago Journal & Country Rank. http://www.scimagojr.com. Retrieved 31 Aug 2009
  25. Seidman SB (1983) Network structure and minimum degree. Soc Netw 5:269–287MathSciNetCrossRefGoogle Scholar
  26. Small H (1973) Co-citation in the scientific literature: A new measure of the relationship between two documents. J Am Soc Inf Sci 24(4):265–269MathSciNetCrossRefGoogle Scholar
  27. Sun Y, Norick B, Han J, Yan X, Yu PS, Yu X (2013) Pathselclus: Integrating meta-path selection with user-guided object clustering in heterogeneous information networks. ACM Trans Knowl Discov Data (TKDD) 7(3):11Google Scholar
  28. Walker D, Xie H, Yan KK, Maslov S (2007) Ranking scientific publications using a simple model of network traffic. J Stat Mech: Theory Exp P06010.  https://doi.org/10.1088/1742-5468/2007/06/P06010
  29. Waltman L, Van Eck NJ, Noyons ECM (2010) A unified approach to mapping and clustering of bibliometric networks. J Informetr 4(4):629–635CrossRefGoogle Scholar
  30. Waltman L, Yan E (2014) PageRank-related methods for analyzing citation networks. In: Ding Y, Rousseau R, Wolfram D (eds) Measuring scholarly impact. Springer International Publishing, Cham, pp 83–100Google Scholar
  31. White HD, McCain KW (1998) Visualizing a discipline: an author co-citation analysis of information science 1972–1995. J Am Soc Inf Sci 49(4):327–355Google Scholar
  32. Yan E, Ding Y (2012) Scholarly network similarities: how bibliographic coupling networks, citation networks, co-citation networks, topical networks, coauthorship networks, and co-word networks relate to each other. J Am Soc Inf Sci Technol 63(7):1313–1326CrossRefGoogle Scholar
  33. Yan E, Ding Y, Sugimoto CR (2011) P-Rank: an indicator measuring prestige in heterogeneous scholarly networks. J Am Soc Inf Sci Technol 62(3):467–477Google Scholar
  34. Yan E, Ding Y, Cronin B, Leydesdorff L (2013) A bird’s eye view of scientific trading: dependency relations among fields of science. J Informetr 7(2):249–264CrossRefGoogle Scholar
  35. Yan E (2015) Disciplinary knowledge production and diffusion in science. J Assoc Inf Sci Technol.  https://doi.org/10.1002/asi.23541CrossRefGoogle Scholar
  36. Yan E, Yu Q (2015) Using path-based approaches to examine the dynamic structure of discipline-level citation networks: 1997–2011. J Assoc Inf Sci Technol.  https://doi.org/10.1002/asi.23516CrossRefGoogle Scholar
  37. Yin L, Kretschmer H, Hanneman RA, Liu Z (2006) Connection and stratification in research collaboration: an analysis of the COLLNET network. Inf Process Manag 42(6):1599–1613CrossRefGoogle Scholar
  38. Zhang L, Liu X, Janssens F, Liang L, Glänzel W (2010) Subject clustering analysis based on ISI category classification. J Informetr 4(2):185–193CrossRefGoogle Scholar
  39. Zhuang E, Chen G, Feng G (2011) A network model of knowledge accumulation through diffusion and upgrade. Physica A: Statistical Mechanics and its Applications 390(13):2582–2592CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Computing and InformaticsDrexel UniversityPhiladelphiaUSA
  2. 2.School of Informatics and ComputingIndiana UniversityBloomingtonUSA

Section editors and affiliations

  • Przemysław Kazienko
    • 1
  • Jaroslaw Jankowski
    • 2
  1. 1.Department of Computer Science and Management, Institute of InformaticsWrocław University of TechnologyWrocławPoland
  2. 2.Faculty of Computer Science and Information TechnologyWest Pomeranian University of TechnologySzczecinPoland