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Constructing bibliometric networks: A comparison between full and fractional counting
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“To avoid assigning higher weights to manuscripts with a higher number of authors, we chose a fractional counting method to build a weighted co-authorship network (i.e., edge weights are inversely proportional to the number of authors) based on the recom mended methods by Perianes-Rodriguez et al. (2016).”
From Charting the Evolution and Future of Conversational Agents: A Research Agenda Along Five Waves and New Frontiers (2024) · cites this paper as Perianes-Rodriguez et al. (2016)
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Metadata
- Authors
- Perianes-Rodriguez, A., Waltman, L., & van Eck, N. J.
- Affiliations
- Leiden University (NL)
- ORCID
- Waltman, Ludo
- Venue
- Journal of Informetrics
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 10
- Issue
- 4
- Pages
- 1178-1195
- ISSN
- 1751-1577 (ISSN-L)
- OpenAlex
- W2486654687
- Cited by
- 1,416
- References
- 43
- Citations by year
- 2026: 170 · 2025: 217 · 2024: 230 · 2023: 224 · 2022: 229 · 2021: 141 · 2020: 98 · 2019: 60 · 2018: 26 · 2017: 17 · 2016: 2
- FWCI
- 32.69
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Journal of Informetrics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Ministerio de Educación, Cultura y Deporte
- Universiteit Leiden (CAS15/00178)
- Topics
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- bibliometric networks, fractional counting, co-authorship networks, bibliographic coupling, co-citation networks, network construction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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