Сравнение на методи

	Webometric Link Analysis	Citation Analysis for Collection Development
Област	Library Information Science	Library Information Science
Семейство	Process / pipeline	Process / pipeline
Година на възникване	1998	2005
Създател	Peter Ingwersen (web impact factor); Mike Thelwall (link analysis methodology)	Library collection-development literature; Jennifer E. Knievel & Charlene Kellsey (comparative humanities study)
Тип	Network/quantitative pipeline measuring web visibility and impact through hyperlinks	Bibliometric pipeline applying local citation patterns to collection-building decisions
Основополагащ източник	Ingwersen, P. (1998). The calculation of web impact factors. Journal of Documentation, 54(2), 236-243.	Knievel, J. E., & Kellsey, C. (2005). Citation Analysis for Collection Development: A Comparative Study of Eight Humanities Fields. The Library Quarterly, 75(2), 142-168.
Други названия	Web Impact Factor Analysis, Hyperlink Analysis, Link Impact Analysis, Webometrics	Local Citation Analysis, Citation-Based Collection Evaluation, Reference Citation Study, Citation Analysis for Acquisitions
Свързани	2	3
Резюме	Webometric link analysis treats hyperlinks the way bibliometrics treats citations: as traces of influence and visibility that can be counted and analyzed. The central indicator, Peter Ingwersen's 1998 Web Impact Factor, divides the number of links pointing to a web unit, a site, domain, or institution, by its number of pages, producing a link-density measure analogous to a journal impact factor. Mike Thelwall's Link Analysis: An Information Science Approach (2004) developed the broader methodology, showing how hyperlink counts and link networks can serve as evidence about online phenomena while warning carefully about the reliability of the underlying data. Distinct from generic scientometric citation mapping, webometric link analysis measures impact on the web itself, the visibility of universities, libraries, journals, and organizations as expressed through who links to them.	Citation analysis for collection development studies what a library's own community actually cites, in their theses, dissertations, and publications, and uses those patterns to guide what the library should buy, keep, and cancel. Rather than mapping the global structure of a field, it asks a local, practical question: which formats, languages, ages, and specific titles do our researchers rely on? By tabulating the references in locally produced scholarship, the method reveals, for example, whether a discipline depends on monographs or journals, how quickly its literature ages, and which journals or books appear most often, evidence that can be matched against holdings to find gaps and guide budgets. Knievel and Kellsey's comparative study of eight humanities fields showed how sharply these citation patterns vary by discipline, underscoring why collection decisions should rest on field-specific local evidence.