Science collaboration networks in sociology and their general characteristics in Serbia — TEI-tagged view

Lazar Zsolt, Valentina Sokolovska · 2012 · sociology-of-science · doi:10.5937/socpreg1201003l · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (pdftext); every evidence string verified as an exact substring of that text before merging. The paper is roughly half literature review (of Moody 2004, Kronegger et al. 2012, Cole, Davis, Collins) and half a small original bibliometric count, so 'method' is a judgement call: I tagged observational-study because the distinctive contribution is the new count ("The proportion of author works in total number of published texts is 89.1%, whereas the proportion of coauthor works is merely 10.9%."), but the review half is equally prominent ("In the first part of the paper the author analyzes the results of previous research of sociological social networks, published in scientific papers available in the following databases: JSTOR, ScienceDirect and SpringerLink."). No statistical modelling or network metrics are computed on the Serbian data — only frequencies by institution. Only one claim_relation is recorded: the many other citations (Katz & Martin, Newman, Barabási, Kronegger) are summarised rather than related to the authors' own claim. The extraction contains Cyrillic running heads and mojibake in the header block; the body text quoted here is clean. 2026-08-14 schema-0.3 pass: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
science collaboration coauthored work citation auto citation core knowledge2 observational-study83

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonscientific coauthorship networks in sociology— “Science collaboration networks occupy an important place in the analysis of social networks.”
claim-typeexistence— “Based on this insight, we can conclude that the scientific networks of coauthors’ works of sociologists in Serbia are not quite developed.”
method — evidence— “We have analysed coauthors’ works according to the criterion of belonging to the same or different scientific/educational institution.”
mechanism1990s isolation and economic collapse produced minimal science funding and minimal international contact, which suppressed the coauthorship that funding and contact would otherwise generate— “Among all else, it produced minimal investment in science, as well as hard and minimal international cooperation.”mechanisms[0]
mechanismprojects framed around very general themes let each associate work on his own issue without leaving his own profession, so participation never turns into joint problem-solving and hence not into coauthorship— “Problems related to the project are mostly chosen based on such general notion which could enable the project work of the associates who could tackle various issues, without the obligation to step out of their own profession.”mechanisms[1]
mechanismthe absence of distinguished scientists who gather younger associates leaves no nuclei around which collaboration networks could form— “In Serbian Sociology there are no distinguished scientists who tend to gather younger associates”mechanisms[2]
extends Moody (2004), The Structure of a Social Science Collaboration Network— “Therefore, it does not come as a surprise that the cooperation of the Serbian sociologists at the beginning of the 21st century was three times smaller than the cooperation of the sociologists portrayed in Moody’s research.”claim_relations[0]
sensescience collaboration - AS AT LEAST ONE SHARED BYLINE: in network analysis the authors are the nodes and a link exists if there is at least one coauthored work, so the relation is binary and carries no degree, duration or division of labour— “In this kind of analysis, the actors (nods) are authors, and connections (links) between them are coauthored works. The connection exists if there is at least one coauthored work between two scientists”senses[0]
sensescience collaboration - AS A SOCIAL CONVENTION with moving boundaries: what counts is settled between scientists rather than by a criterion, and the paper says the boundary is prone to change— “The process of determining the boundaries of collaboration is prone to change”senses[1]
sensecitation - SEVERAL DIFFERENT ACTS UNDER ONE NAME: bibliographic pairing, co-citation, direct, symbolic, negative, diplomatic and auto citation, which a count cannot tell apart— “Škorić (2010) says that citation envelops many aspects: bibliographic pairing, co-citation, direct citation, symbolic citation, negative, diplomatic and auto citation”senses[2]
auditscience collaboration —operationalised-as→ coauthored work — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but endpoint by anaphora: the previous sentences name 'science collaboration networks' built on coauthorship.— “In this kind of analysis, the actors (nods) are authors, and connections (links) between them are coauthored works. The connection exists if there is at least one coauthored work between two scientists”concept_edges[0]
edgeauto citation —is-a→ citation— “Škorić (2010) says that citation envelops many aspects: bibliographic pairing, co-citation, direct citation, symbolic citation, negative, diplomatic and auto citation”concept_edges[1]
for which uselimitation — any result about science collaboration networks: the paper states very few works define what science collaboration is, so studies of it need not be studies of the same thing— “However, there are very few works which define what science collaboration is.”limitations[2]
for which uselimitation — a comparison of collaboration rates between studies or communities: the term is hard to define because it is largely a matter of social conventions between scientists, and what some count as collaboration others would call a loose grouping or informal connection— “Katz and Martin (1997) concluded that the term of “collaboration” is hard to define, because it is in great measure a thing of social conventions between scientists. That which by some would be considered as collaboration, others could define as loose grouping or collection of informal connections”limitations[3]
for which uselimitation — a synthesis across collaboration-network studies: researchers commonly take one aspect only and narrow their operational definitions accordingly, so the definitions differ between the studies being combined— “Researchers of the scientific networks more commonly opt for just one of its aspects and therefore narrow their operational definitions of science collaboration networks”limitations[4]
for which uselimitation — a citation-based measure of influence: the same count aggregates ceremonial citation, a demonstration of knowing the literature, with diplomatic non-citation, the purposeful omission of authors from a rival group— “Cole (1970) speaks about “ceremonial citation” as a demonstration in literature knowing and “diplomatic non-citation” as purposeful non-citation of authors from rival group etc.”limitations[5]
replicationuntested
limitationThe paper states it cannot readily explain why Serbian sociologists do not co-author.— “The question why the Serbian sociologists do not cooperate during the writing of scientific works cannot be answered easily.”limitations[0]
limitationThe paper notes that its comparison is between scientific communities of very different sizes, so the author/coauthor distributions are not directly comparable.— “Considering the fact that the issue is about comparing scientific communities of various sizes, the samples of such a distribution of authors’ and coauthors’ works are quite different.”limitations[1]
limitationThe field measures a thing it rarely defines: the paper states that very few works define what science collaboration is.— “However, there are very few works which define what science collaboration is.”limitations[2]
limitationThe term rests on social convention, and what one researcher counts as collaboration another counts as a loose grouping.— “Katz and Martin (1997) concluded that the term of “collaboration” is hard to define, because it is in great measure a thing of social conventions between scientists. That which by some would be considered as collaboration, others could define as loose grouping or collection of informal connections”limitations[3]
limitationEach study narrows the term to one aspect, so the operational definitions differ between the works being compared.limitations[4]
limitationCitation counts aggregate acts that mean opposite things, including citing to display reading and deliberately not citing a rival.limitations[5]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingSingle-authored works make up 89.1% of the published texts and coauthored works only 10.9%.content_tags.findings[0]
findingAmong the coauthored papers, collaboration between colleagues in the same institution is twice as frequent as collaboration across institutions.
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content_tags.findings[1]
findingThe authors conclude from these frequencies that coauthorship networks among Serbian sociologists are underdeveloped.
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content_tags.findings[2]
findingSerbian sociologists at the start of the 21st century collaborated three times less than the sociologists in Moody's international data.
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content_tags.findings[3]
findingUsing Moody's methodology, Kronegger and colleagues found different network structures among sociologists.
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content_tags.findings[4]
findingNone of the study programmes has a subject dedicated to the theory and analysis of social networks.
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content_tags.findings[5]
findingIn all four Slovenian disciplines examined, scientists preferentially form new coauthorships with the coauthors of their coauthors, closing triangles - a signature of small-world clustering within network borders.
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content_tags.findings[6]
quantity89.1% — share of single-authored papers in the three Serbian sociology journals, 2000-2010
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content_tags.quantities[0]
quantity10.9% — share of coauthored papers in the same three journals over the same period
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content_tags.quantities[1]
quantity33.2% — share of coauthored works in Sociological Abstracts 1963-1999, the comparison figure taken from Moody
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content_tags.quantities[2]
quantity3.00 — average network distance between Slovenian sociologists reported by Kronegger et al., against 3.97 in physics, 4.36 in biotechnology and 3.91 in mathematics
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content_tags.quantities[3]
variableproportion of author works (dependent)
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content_tags.variables[2]
variableproportion of coauthor works (dependent)
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content_tags.variables[3]
definitionbasic research unit of science collaboration
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content_tags.definitions[0]
definitionceremonial citation
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content_tags.definitions[5]
definitiondiplomatic non-citation
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content_tags.definitions[6]
definitioncore knowledge
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content_tags.definitions[7]
definitionresearch frontier
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content_tags.definitions[8]
definitionpreferential attachment model
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content_tags.definitions[9]
definitionsmall-world model
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content_tags.definitions[10]
definitionstructural cohesion model
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content_tags.definitions[11]
Concepts
terms this paper carries, each with the sentence it was cut from — the layer that joins one paper to another. Terms with no quote yet are on CONCEPTS.html.
conceptscience collaboration
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concepts[0]
conceptcoauthored work
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concepts[1]
conceptcitation
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concepts[2]
conceptauto citation
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concepts[3]
conceptcore knowledge
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concepts[4]
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
proportion as written: The proportion of author works in total number of published texts
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content_tags.statistics[0]
frequency distribution as written: Frequency of authors’ and coauthors’ works
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content_tags.statistics[1]

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