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- Bibliogram abstract "A bibliogram is a verbal construct made when noun phrases from extended stretches of text are ranked high to low by their frequency of co-occurrence with one or more user-supplied seed terms. Each bibliogram has three components: A seed term that sets a context. Words that co-occur with the seed across some set of records. Counts (frequencies) by which co-occurring words can be ordered high to low.The term was introduced in 2005 by Howard D. White to name the linguistic object studied, but not previously named, in informetrics, scientometrics and bibliometrics. The noun phrases in the ranking may be authors, journals, subject headings, or other indexing terms. The \"stretches of text” may be a book, a set of related articles, a subject bibliography, a set of Web pages, and so on. Bibliograms are always generated from writings, usually from scholarly or scientific literatures. As a family of term-frequency distributions, the bibliogram has frequently been written about under descriptions such as: positive skew distribution empirical hyperbolic scale-free (see also Scale-free network) power law size frequency distribution reverse-JIt is sometimes called a \"core and scatter\" distribution. The \"core\" consists of relatively few top-ranked terms that account for a disproportionately large share of co-occurrences overall. The \"scatter” consists of relatively many lower-ranked terms that account for the remaining share of co-occurrences. Usually the top-ranked terms are not tied in frequency, but identical frequencies and tied ranks become more common as the frequencies get smaller. At the bottom of the distribution, a long tail of terms are tied in rank because each co-occurs with the seed term only once. In most cases bibliograms can be described by power laws such as Zipf's law and Bradford's law. In this regard, they have long been studied by mathematicians and statisticians in information science. However, these treatments typically ignore the qualitative meanings of the ranked terms themselves, which are often of interest in their own right. For example, the following bibliogram was made with an author's name as seed and shows the descriptors that co-occur with her name in the ERIC database. The descriptors are ranked by how many of her articles they were used to index: 6 Creativity4 Creativity Tests3 Divergent Thinking2 Elementary School Mathematics2 Instruction2 Mathematics Education2 Problem Solving2 Research2 Time1 Acceleration1 Anxiety1 Beginning Teachers1 Behavioral Objectives1 Child Development1 Classroom Techniques1 Cognitive Development etc.This author is a researcher in education, and it will be seen that the terms profile her intellectual interests over the years. In general, bibliograms can be used to: suggest additional terms for search strategies characterize the work of scholars, scientists, or institutions show who an author cites over time show who cites an author over time show the other authors with whom an author is co-cited over time show the subjects associated with a journal or an author show the authors, organizations, or journals associated with a subject show library classification codes associated with subject headings and vice versa show the popularity of items in the collections of libraries model the structure of literatures with title terms, descriptors, author names, journal names Bibliograms can be created with the RANK command on Dialog (other vendors have similar commands), ranking options within WorldCat, HistCite, Google Scholar, and inexpensive content analysis software.White suggests that bibliograms have a parallel construct in what he calls associograms. These are the rank-ordered lists of word association norms studied in psycholinguistics. They are similar to bibliograms in statistical structure but are not generated from writings. Rather, they are generated by presenting panels of people with a stimulus term (which functions like a seed term) and tabulating the words they associate with the seed by frequency of co-occurrence. They are currently of interest to information scientists as a nonstandard way of creating thesauri for document retrieval.".
- Bibliogram wikiPageExternalLink sets.
- Bibliogram wikiPageExternalLink in-search-for-answers-another.html.
- Bibliogram wikiPageExternalLink www.eat.rl.ac.uk.
- Bibliogram wikiPageID "2465964".
- Bibliogram wikiPageLength "5729".
- Bibliogram wikiPageOutDegree "26".
- Bibliogram wikiPageRevisionID "555929583".
- Bibliogram wikiPageWikiLink Amazon.com.
- Bibliogram wikiPageWikiLink Bibliographic_coupling.
- Bibliogram wikiPageWikiLink Bibliometrics.
- Bibliogram wikiPageWikiLink Bradfords_law.
- Bibliogram wikiPageWikiLink Category:Bibliometrics.
- Bibliogram wikiPageWikiLink Cluster_analysis.
- Bibliogram wikiPageWikiLink Co-citation.
- Bibliogram wikiPageWikiLink Co-occurrence.
- Bibliogram wikiPageWikiLink Collaborative_writing.
- Bibliogram wikiPageWikiLink Data_mining.
- Bibliogram wikiPageWikiLink Frequency_(statistics).
- Bibliogram wikiPageWikiLink Google_Scholar.
- Bibliogram wikiPageWikiLink Histcite.
- Bibliogram wikiPageWikiLink Howard_D._White.
- Bibliogram wikiPageWikiLink Informetrics.
- Bibliogram wikiPageWikiLink Noun_phrase.
- Bibliogram wikiPageWikiLink Power_law.
- Bibliogram wikiPageWikiLink Psycholinguistics.
- Bibliogram wikiPageWikiLink Ranking.
- Bibliogram wikiPageWikiLink Scale-free_network.
- Bibliogram wikiPageWikiLink Scientometrics.
- Bibliogram wikiPageWikiLink Size_frequency_distribution.
- Bibliogram wikiPageWikiLink Wiktionary:context.
- Bibliogram wikiPageWikiLink WorldCat.
- Bibliogram wikiPageWikiLink Zipfs_law.
- Bibliogram wikiPageWikiLinkText "Bibliogram".
- Bibliogram wikiPageWikiLinkText "bibliogram".
- Bibliogram subject Category:Bibliometrics.
- Bibliogram comment "A bibliogram is a verbal construct made when noun phrases from extended stretches of text are ranked high to low by their frequency of co-occurrence with one or more user-supplied seed terms. Each bibliogram has three components: A seed term that sets a context. Words that co-occur with the seed across some set of records. Counts (frequencies) by which co-occurring words can be ordered high to low.The term was introduced in 2005 by Howard D.".
- Bibliogram label "Bibliogram".
- Bibliogram sameAs Q856337.
- Bibliogram sameAs Bibliogramm.
- Bibliogram sameAs m.07g05v.
- Bibliogram sameAs Q856337.
- Bibliogram wasDerivedFrom Bibliogram?oldid=555929583.
- Bibliogram isPrimaryTopicOf Bibliogram.