Co‐citation in the scientific literature: A new measure of the relationship between two documents

Small, Henry

doi:10.1002/asi.4630240406

Cited by 4,001 publications

(2,662 citation statements)

References 7 publications

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2,462

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“…Two basic similarity functions on documents to emerge from the study of bibliometrics are bibliographic coupling (due to Kessler [36]) and co-citation (due to Small [52]). For a pair of documents p and q, the former quantity is equal to the number of documents cited by both p and q, and the latter quantity is the number of documents that cite both p and q. Co-citation has been used as a measure of the similarity of www pages by Larson [37] and by Pitkow and Pirolli [47].…”

Section: Clustering Of Link Structuresmentioning

confidence: 99%

Authoritative Sources in a Hyperlinked Environment

Kleinberg¹

2011

The Structure and Dynamics of Networks

1,436

2,017

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The network structure of a hyperlinked environment can be a rich source of information about the content of the environment, provided we have effective means for understanding it. We develop a set of algorithmic tools for extracting information from the link structures of such environments, and report on experiments that demonstrate their effectiveness in a variety of contexts on the World Wide Web. The central issue we address within our framework is the distillation of broad search topics, through the discovery of "authoritative" information sources on such topics. We propose and test an algorithmic formulation of the notion of authority, based on the relationship between a set of relevant authoritative pages and the set of "hub pages" that join them together in the link structure. Our formulation has connections to the eigenvectors of certain matrices associated with the link graph; these connections in turn motivate additional heuristics for link-based analysis.

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Section: Clustering Of Link Structuresmentioning

confidence: 99%

Authoritative Sources in a Hyperlinked Environment

Kleinberg¹

2011

The Structure and Dynamics of Networks

1,436

2,017

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“…ž Derive, from C and the link structure induced by it, two n ð n association matrices: a hub matrix H and an authority matrix A. Association matrices are widely used in classification algorithms [22] and will be used here in order to classify the Web sites into communities of hubs=authorities. The association matrices which are used by the meta-algorithm will have the following algebraic property (let M denote such a matrix).…”

Section: A Meta-algorithm For Link Structure Analysismentioning

confidence: 99%

The stochastic approach for link-structure analysis (SALSA) and the TKC effect

2000

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This article is being produced via complete electronic text/image integration, to enable full database storage. It has therefore to meet specific standards regarding structure and presentation.This proof is an automatically produced, low-resolution laser-printer output. The final product will naturally meet our high-quality standards regarding resolution and page lay-out.Please use this proof solely for checking of typesetting/editing and completeness of text and figures. Changes to the article as accepted for publication will not be considered at this stage. Elsevier Science N.L. Computer Networks 00 (2000) COMPNW2288The stochastic approach for link-structure analysis (SALSA) and the TKC effect 1 R. Lempel Ł , S. Moran Department of Computer Science, The Technion, Haifa 32000, Israel AbstractToday, when searching for information on the World Wide Web, one usually performs a query through a term-based search engine. These engines return, as the query's result, a list of Web sites whose contents match the query. For broad topic queries, such searches often result in a huge set of retrieved documents, many of which are irrelevant to the user. However, much information is contained in the link-structure of the World Wide Web. Information such as which pages are linked to others can be used to augment search algorithms. In this context, Jon Kleinberg introduced the notion of two distinct types of Web sites: hubs and authorities. Kleinberg argued that hubs and authorities exhibit a mutually reinforcing relationship: a good hub will point to many authorities, and a good authority will be pointed at by many hubs. In light of this, he devised an algorithm aimed at finding authoritative sites. We present SALSA, a new stochastic approach for link structure analysis, which examines random walks on graphs derived from the link structure. We show that both SALSA and Kleinberg's mutual reinforcement approach employ the same meta-algorithm. We then prove that SALSA is equivalent to a weighted in-degree analysis of the link-structure of World Wide Web subgraphs, making it computationally more efficient than the mutual reinforcement approach. We compare the results of applying SALSA to the results derived through Kleinberg's approach. These comparisons reveal a topological phenomenon called the TKC effect (Tightly Knit Community) which, in certain cases, prevents the mutual reinforcement approach from identifying meaningful authorities. 

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“…SEG (see Fig. 4) is represented by five clusters: seismology (3, 21); geophysical aspects of geology and mineralogy (4,5,8,24); instrumentation and techniques in explosion seismology (2,42); coastal studies (6,11,28,37); and climatology related to the Pacific Ocean (1,7,18).…”

Section: Preliminary Interpretation Of the Geophysics Mapsmentioning

confidence: 99%

“…6. As mentioned above instrumentation and techniques are largely used in all geophysics subdivisions: atmospheric research (1,13,14,16); hydrospheric research (6,7,9,12,15); solid Earth geophysics (3,4,5,8,21,24); rivers and flows research (19,22,46); and especially meteorology (2, 17, …”

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confidence: 99%

Mapping Australian geophysics: A co-heading analysis

Todorov

Winterhager

1990

Scientometrics

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Descriptive capacities of a new bibliometric method, namely co-heading analysis, are investigated. The method uses the appearance and co-appearance of classification subdivisions ~ (headings) in the document records of 1988 INSPEC database to display correspondingly the main topics of Australian geophysics and their links. The findings, in the form of inclusion maps (resulting from multidimensional scaling and cluster analysis) provide new insights into geophysics national activity and into its structure.

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Co‐citation in the scientific literature: A new measure of the relationship between two documents

Cited by 4,001 publications

References 7 publications

Authoritative Sources in a Hyperlinked Environment

Authoritative Sources in a Hyperlinked Environment

The stochastic approach for link-structure analysis (SALSA) and the TKC effect

Mapping Australian geophysics: A co-heading analysis

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