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The authors declare that they have no competing interests.
VC, MB and VN participated in the acquisition and analysis of the data; All authors contributed to the conception and design of the study, and participated in the interpretation of the data. All authors were involved in drafting the manuscript, and approved the final one.
Citation networks have been widely used to study the evolution of science through the lenses of the underlying patterns of knowledge flows among academic papers, authors, research sub-fields, and scientific journals. Here we focus on citation networks to cast light on the salience of homophily, namely the principle that similarity breeds connection, for knowledge transfer between papers. To this end, we assess the degree to which citations tend to occur between papers that are concerned with seemingly related topics or research problems. Drawing on a large data set of articles published in the journals of the American Physical Society between 1893 and 2009, we propose a novel method for measuring the similarity between articles through the statistical validation of the overlap between their bibliographies. Results suggest that the probability of a citation made by one article to another is indeed an increasing function of the similarity between the two articles. Our study also enables us to uncover missing citations between pairs of highly related articles, and may thus help identify barriers to effective knowledge flows. By quantifying the proportion of missing citations, we conduct a comparative assessment of distinct journals and research sub-fields in terms of their ability to facilitate or impede the dissemination of knowledge. Findings indicate that Electromagnetism and Interdisciplinary Physics are the two sub-fields in physics with the smallest percentage of missing citations. Moreover, knowledge transfer seems to be more effectively facilitated by journals of wide visibility, such as Physical Review Letters, than by lower-impact ones. Our study has important implications for authors, editors and reviewers of scientific journals, as well as public preprint repositories, as it provides a procedure for recommending relevant yet missing references and properly integrating bibliographies of papers.
Klimt B, Yang Y (2004) Introducing the Enron corpus. In: First conference on email and anti-spam (CEAS), Mountain View, CA.
Eagle N, Pentland AS, Lazer D (2009) Inferring friendship network structure by using mobile phone data. Proc Natl Acad Sci USA 106(36):15274-15278 CrossRef
Larsen PO, Von Ins M (2010) The rate of growth in scientific publication and the decline in coverage provided by science citation index. Scientometrics 84(3):575-603 CrossRef
de Solla Price DJ (1965) Networks of scientific papers. Science 149:510-515 CrossRef
de Solla Price DJ (1976) A general theory of bibliometric and other cumulative advantage process. J Am Soc Inf Sci 27:292-306 CrossRef
Goldberg SR, Anthony H, Evans TS (2014) Modelling citation networks. Preprint. arXiv:1408.2970
Calero-Medina C, Noyons EC (2008) Combining mapping and citation network analysis for a better understanding of the scientific development: the case of the absorptive capacity field. J Informetr 2(4):272-279 CrossRef
Catalini C, Lacetera N, Oettl A (2015) The incidence and role of negative citations in science. Proc Natl Acad Sci USA 112(45):13823-13826 CrossRef
Petersen AM, Fortunato S, Pan RK, Kaski K, Penner O, Rungi A, Riccaboni M, Stanley HE, Pammolli F (2014) Reputation and impact in academic careers. Proc Natl Acad Sci USA 111(43):15316-15321 CrossRef
Sinatra R, Deville P, Szell M, Wang D, Barabási AL (2015) A century of physics. Nat Phys 11(10):791-796 CrossRef
Clough JR, Evans TS (2014) What is the dimension of citation space? Preprint. arXiv:1408.1274
Tumminello M, Lillo F, Piilo J, Mantegna RN (2012) Identification of clusters of investors from their real trading activity in a financial market. New J Phys 14:013041 CrossRef
Aral S, Muchnik L, Sundararajan A (2009) Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. Proc Natl Acad Sci USA 106(51):21544-21549 CrossRef
Kossinets G, Watts DJ (2009) Origins of homophily in an evolving social network. Am J Sociol 115(2):405-450 CrossRef
Lazerfeld PF, Merton RK (1954) Friendship as a social process: a substantive and methodological analysis. In: Berger M (ed) Freedom and control in modern society. Van Nostrand, Princeton, pp 18-66
McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: homophily in social networks. Annu Rev Sociol 27:415-444 CrossRef
Schummer J (2004) Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology. Scientometrics 59(30):425-465 CrossRef
Jaffe AB, Trajtenberg M (2002) Patents, citations, and innovations: a window on the knowledge economy. MIT Press, Cambridge
Sternitzke C, Bartkowski A, Schramm R (2008) Visualizing patent statistics by means of social network analysis tools. World Pat Inf 30:115-131 CrossRef
Fowler JH, Jeon S (2008) The authority of Supreme Court precedent. Soc Netw 30(1):16-30 CrossRef
Fowler JH, Johnson TR, Spriggs JF, Jeon S, Wahlbeck PJ (2007) Network analysis and the law: measuring the legal importance of precedents at the US Supreme Court. Polit Anal 15(3):324-346 CrossRef
- Homophily and missing links in citation networks
- Springer Berlin Heidelberg
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