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Scholarly Networks Analysis

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Synonyms

Disciplinary; Knowledge flow; Scholarly communication; Scholarly networks; Science maps; Scientific collaboration; Scientific evaluation; Topic identification

Glossary

Node (in Scholarly Networks):

Entities such as words, papers, patent, authors, journals, institutions, fields, or country

Edge (in Scholarly Networks):

Citation, cocitation, co-word, coauthor, bibliographic coupling, or hybrid 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 the networks, including component, bicompo-nent, shortest distance, clustering coefficient, degree distribution, and error and attack tolerance

Meso-level Approach:

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

Microlevel Approach:

Indicators that are useful to understand individual node's power, stratification, ranking,...

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References

  • Bergstrom CT, West JD (2008) Assessing citations with the Eigenfactor™ metrics. Neurology 71(23):1850–1851

    Google Scholar 

  • Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3(4–5):993–1033

    MATH  Google Scholar 

  • Bollen J, Rodriguez MA, Van de Sompel H (2006) Journal status. Scientometrics 69(3):669–687

    Google Scholar 

  • Boyack KW, Klavans AR, Börner K (2005) Mapping the backbone of science. Scientometrics 64(3):351–374

    Google Scholar 

  • Brin S, Page L (1998) The anatomy of a large-scale hypertextual web search engine. Comput Netw ISDN Syst 30(1–7): 107–117

    Google Scholar 

  • Freeman LC (1979) Centrality in social networks: conceptual clarification. Soc Netw 1(3):215–239

    Google Scholar 

  • Hirsch JE (2005) An index to quantify an individual's scientific research output. Proc Natl Acad Sci USA 102(46): 16569–16572

    Google Scholar 

  • Jaffe AB, Trajtenberg M, Henderson AD (1993) Geographical localization of knowledge spillovers by patent citations. Q J Econ 108(3):577–599

    Google Scholar 

  • Kessler MM (1963) Bibliographic coupling between scientific papers. Am Doc 14(1): 10–25

    Google Scholar 

  • 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):1622–1634

    Google Scholar 

  • Newman MEJ (2003) The structure and function of complex networks. SIAM Rev 45(2): 167–256

    MATH  MathSciNet  Google Scholar 

  • Newman M, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 69(2):026113

    Google Scholar 

  • Nooy W, Mrvar A, Batagelj V (2005) Exploratory social network analysis with Pajek. Cambridge University Press, Cambridge

    Google Scholar 

  • 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):297–312

    Google Scholar 

  • Porter AL, Roessner JD, Cohen AS, Perreault M (2006) Interdisciplinary research: meaning, metrics and nurture. Res Eval 15(3):187–195

    Google Scholar 

  • Radicchi F, Fortunato S, Markines B, Vespignani A (2009) Diffusion of scientific credits and the ranking of scientists. Phys Rev E 80(5):056103

    Google Scholar 

  • Rafols I, Meyer M (2010) Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience. Scientometrics 82(2): 263–287

    Google Scholar 

  • Rinia EJ, Van Leeuwen TN, Bruins EEW, Van Vuren HG, Van Raan AFJ (2002) Measuring knowledge transfer between fields of science. Scientometrics 54(3): 347–362

    Google Scholar 

  • Rosvall M, Bergstrom CT (2008) Maps of information flow reveal community structure in complex networks. Proc Natl Acad Sci USA 105(4):1118–1123

    Google Scholar 

  • SCImago (2007) SJR: SCImago Journal & Country Rank. http://www.scimagojr.com. Retrieved 31 Aug 2009

  • Seidman SB (1983) Network structure and minimum degree. Soc Netw 5:269–287

    MathSciNet  Google Scholar 

  • 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. doi:10.1088/1742-5468/2007/06/P06010

    Google Scholar 

  • Waltman L, Van Eck NJ, Noyons ECM (2010) A unified approach to mapping and clustering of bibliometric networks. J Informetr 4(4):629–635

    Google Scholar 

  • 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):327–355

    Google Scholar 

  • 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):1313–1326

    Google Scholar 

  • 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): 467–477

    Google Scholar 

  • Yan E, Ding Y, Cronin B, Leydesdorff L (2013) A bird'seye view of scientific trading: dependency relations among fields of science. J Informetr 7(2):249–264

    Google Scholar 

  • 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):1599–1613

    Google Scholar 

  • Zhang L, Liu X, Janssens F, Liang L, Glänzel W (2010) Subject clustering analysis based on ISI category classification. J Informetr 4(2):185–193

    Google Scholar 

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Yan, E., Ding, Y. (2014). Scholarly Networks Analysis. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_249

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