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MethodStatistics1,836 AI & ML1,661 Decision Sciences932 Research Methods1,354 Measurement1,745 Causal & Evidence532 Research Practice118

12 methods in Research Practice · AI & MLClear

Methods at the intersection of your two filters.

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bibliometrics

Author Bibliographic Coupling Analysis

Author bibliographic coupling analysis (ABCA) maps the current intellectual structure of a field by linking authors through the references they share. Introduced by Dangzhi Zhao and Andreas Strotmann in 2008, the method extends classic bibliographic coupling — which couples two documents when they cite the same earlier

1 source2008

bibliometrics

Author Co-Citation Analysis (ACA)

Author co-citation analysis (ACA) maps the intellectual structure of a research field by treating authors, rather than documents, as the units of analysis. Introduced by Howard White and Belver Griffith in 1981, ACA rests on a simple premise: when two authors are repeatedly cited together in the same later papers, the

2 sources1981

bibliometrics

Author-Keyword Co-Occurrence Mapping

Author-keyword co-occurrence mapping reveals the conceptual structure of a research field by analyzing the keywords authors attach to their papers. It is a form of co-word analysis, the technique Michel Callon and colleagues introduced in 1983 to study how scientific problems are constructed through the language of the

2 sources1983

bibliometrics

BM25 Probabilistic Ranking (Okapi)

BM25, the Okapi 'Best Matching 25' function, is the dominant classical ranking function in information retrieval and the workhorse term-weighting scheme behind most lexical search engines and bibliographic databases. Developed by Stephen Robertson, Karen Spärck Jones and colleagues at City University London and formali

2 sources2009

bibliometrics

Burst Detection (Kleinberg) for Emerging Topics

Kleinberg burst detection identifies periods during which a feature in a document stream — a keyword, a phrase, or citations to a particular paper — suddenly surges in frequency, signaling an emerging topic or a moment of intense attention. Introduced by Jon Kleinberg in 2003 to find bursty structure in streams such as

1 source2003

bibliometrics

Citation Context and Sentiment Analysis

Citation context and sentiment analysis is the scientometric text-mining technique that reads the words around a citation to recover why one paper cites another and with what attitude. Standard citation counting treats every citation as an equal, polarity-free vote, but Simone Teufel, Advaith Siddharthan and Dan Tidhar

2 sources2006

bibliometrics

Direct Citation Clustering of Science

Direct citation clustering maps the structure of science by linking publications through the citations that run directly between them and partitioning the resulting network into research areas. Unlike co-citation (which links papers cited together) or bibliographic coupling (which links papers sharing references), dire

2 sources2010

bibliometrics

Main Path Analysis

Main path analysis (MPA) traces the principal trajectory of knowledge development through a citation network. Introduced by Norman Hummon and Patrick Doreian in their 1989 study of the discovery of DNA, the method treats a field's literature as a directed acyclic graph in which documents point backward in time to the w

1 source1989

bibliometrics

Mean Average Precision (MAP)

Mean Average Precision (MAP) is the classic single-number summary of ranked-retrieval effectiveness under binary relevance and the headline metric of the TREC ad hoc retrieval tracks. For a single query, average precision (AP) computes the precision of the result list at each rank where a relevant document appears and

2 sources2000

bibliometrics

Normalized Discounted Cumulative Gain (nDCG)

Normalized Discounted Cumulative Gain (nDCG) is the standard metric for evaluating ranked retrieval and recommendation when relevance comes in grades rather than a simple relevant/non-relevant binary. Introduced by Kalervo Järvelin and Jaana Kekäläinen in their 2002 ACM Transactions on Information Systems paper on cumu

1 source2002

bibliometrics

Reference Publication Year Spectroscopy (RPYS)

Reference publication year spectroscopy (RPYS) detects the historical roots of a research field by analyzing not the field's own publications but the publication years of the works those publications cite. Introduced by Werner Marx, Lutz Bornmann, Andreas Barth, and Loet Leydesdorff in 2014, RPYS aggregates all cited r

1 source2014

bibliometrics

Structural Variation Analysis (Chen)

Structural variation analysis (SVA), developed by Chaomei Chen in 2012, is a predictive bibliometric method that estimates the transformative potential of a newly published paper from how much it perturbs the existing structure of a field's literature. Building on the idea that scientific breakthroughs typically recomb

1 source2012