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Modern Countries and Continents
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Search Fields

The following fields can be used for targeting a specific field as described in the query syntax below.

canonicalCitation
collectionTags
description
fileFormats
id
name
tags.txt
authors.firstName
authors.lastName
authors.orcidId
construction.additionalComments
construction.description
construction.sources.sourceTypes.txt
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relatedPublications.canonicalCitation
structure.directionality
structure.weighted
topic.edgeAttributes.txt
topic.edgeTopics.txt
topic.modernCountriesAndContinents.name
topic.networkTopics.txt
topic.nodeAttributes.txt
topic.nodeTopics.txt

Query Syntax

TitleOperatorExampleDescription
Phrase / Exact match
""
"Roman"
"Roman Road Network"
The term or phrase must be matched exactly (case insensitive) to get a match.
Field Search
FIELD_NAME:()
name:(Roman Road Network)
name:("Roman Road Network")
Field searches makes it possible to narrow the search to a specific field instead of searching all fields. The same operators as used in a normal search can be applied to field searches.
Wildcard
?, *
Roma?
Ro*
Search words including or ending with and an unknown set of characters. The wildcard
?
matces a single character and
*
matches 0-n characters.
Fuzzy
~
Roma~
Squire~
Find words which are similar (spelling wise) to the given word. Good for finding misspelled words. The examples could e.g. result in "Roma, Roman, Rome" or "Squire, Super, Squibb".
Given the length of the word different rules apply *:
[0-2]:
No fuzzyfication is applied - the word must match exactly
[3-5]:
One edit** is allowed
[6-*]:
Two edits** are allowed
* The default rules for edits can be overwritten by applying one of [0, 1, 2] after the "~", where the number specifies the number of edits allowed.
** An edit is an insertion, deletion or substitution of a character.
Must
+
+Roman Road +Network
+name:(Roman Road)
+"Roman Road" Network
Express which terms must be present to get a match:
+Roman Road +Network
Both "Roman" and "Network" must be present, "Road" is not required but would make a better result if present
+name:(Roman Road)
One of the terms must be present in the title field (If all terms must be present prefix each term with a "+")
+"Roman Road"
The exact phrase must be present
Must Not
-
-Roman Road
-name:(Roman Road)
-"Roman Road" Network
Express which terms must not be present to get a match:
-Roman Road
"Roman" must not present
-name:(Roman Road)
One of the terms must not be present in the title field (If all terms must not be present prefix each term with a "-")
-"Roman Road"
The exact phrase must not be present
Grouping
( )
(+Roman +Road) (+Ancient +Network)
Group expressions together to form sub-queries. The Example reads: match ("Roman" and "Road") or ("Ancient" and "Network").
time
1 - 1 / 1
Authors
|
|
Solange Rigaud
Maintainers
Formats
other, txt, xls
Nodes
69
Edges
279
Years
-6000-4500
Access
|
Added
2025-12-02
27

"Storing information and circulating it between individuals and groups is a critical behaviour that signals a tipping point in our evolutionary history. Such practices enabled the preservation and consolidation of knowledge over extended periods, facilitating the accumulation of cultural innovations across generations. In this study, we used Social Network Analysis methods to explore how knowledge circulated during the transition to agriculture in the Western Mediterranean region. Previous studies have shown that specific elements of the material culture reveal distinct patterns of cultural interaction among early farming communities. Here, we investigated if two archaeological proxies, personal ornaments and pottery decorations, both with an exclusively symbolic function, reveal different network structures, and if the different degree of connexions acted equally on the transmission of styles, symbols, and network changes over time. Our results relied on cultural data recorded from 77 archaeological occupations covering Italy, France, and Spain, spanning over 1,500 years (ca. 7950~6450 cal BP). By utilizing a chronological dataset comprising 114 radiocarbon dates, we revealed that pottery decorative techniques networks exhibited stronger connexions over space and time, with nodes organized in clear cluster, when compared to personal ornaments networks. The findings highlight the regionalization and fragmentation of cultural networks during the Early Neolithic, and that the transmission of cultural traits within each category of artefact operated through varying cultural and social mechanisms. Pottery expressed a dynamic regional identity, continuously shaped by geographical and chronological proximity, while bead-type associations contributed to enduring identities shared across vast geographical scales. These networks shed light on the multifaceted shaping of social and symbolic capital among the Mediterranean’s early farmers, emphasizing the strength and quality of social ties that existed between communities and the level of reciprocity and cooperation required to foster these diverse social, economic, and cultural development strategies."

From https://pmc.ncbi.nlm.nih.gov/articles/PMC10631656/#sec026

Tags
archaeology
neolithic
ornaments
pottery
Modern Countries and Continents
France
Italy
Spain
Collections
Structure
Directionality
undirected
Weighted
yes
Hypergraph
-
Longitudinal
-
Multigraph
-
Multilayer
-
Multipartile
-
Probabilistic
-
Self Loops
-
Signed
-
Spatial
-
Canonical Citation
Pereira D, Manen C, Rigaud S. The shaping of social and symbolic capital during the transition to farming in the Western Mediterranean: Archaeological network analyses of pottery decorations and personal ornaments. PLoS One. 2023 Nov 8;18(11):e0294111. doi: 10.1371/journal.pone.0294111. PMID: 37939080; PMCID: PMC10631656.
Funding
"This work was supported by the French National Research Agency under the IDEX Bordeaux NETAWA Emergence project № ANR-10-IDEX-03-02 ‘Out of the Core: Exploring social NETworks at the dawn of Agriculture in Western Asia 10 000 years ago’ [SR], the CNRS Momentum project ‘Symboling and neighboring at the dawn of Agriculture’ [SR] and the Grand Programme de Recherche ‘Human Past’ of the University of Bordeaux [SR]."
Network Topics
material-similarity
social
Node Topics
ornaments
pottery
Edge Topics
similarity
Node Attributes
date
latitude
longitude
time-period
Edge Attributes
weight
Uncertainties
Nodes
no
Edges
no
Node Attributes
no
Edge Attributes
no
Statistics
Avg. Clustering Coefficient
-
Avg. Degree
-
Construction

"Our sample is constituted of two previously published datasets [1]: pottery decorative techniques count data and bead-type association presence/absence data.
The Brainerd-Robinson (BR) coefficient of similarity [2–4] is commonly used in archaeology [5–7] and more specifically for pairwise comparisons of count data. In this study, we use a rescaled version of the BR [4,8,9], outputted in the interval [0, 1] (worksheet A in S2 Supplementary Information), to build the pottery decorative techniques similarity matrix. The Jaccard similarity index [10,11] is another commonly used index in archaeology [1,12] , more specifically for the pairwise comparison of presence/absence data. This index outputs results in the interval [0, 1] (worksheet G in S2 Supplementary Information) [4,10,11,13] and was used to build the personal ornaments similarity matrix. "

"All the statistics presented above were calculated in the R platform [19] using an adapted and extended version of the code presented by Brughmans and Peeples [8,9,20]. All the statistics were performed, except when indicated otherwise, using the threshold matrices. In the main body, for brevity, we refer to the centralities without making reference to them being weighted, even though all calculations were made as such. The code can be found in S1 Code."

Sources

See PDF attached to the Supplementary Material.

Source Types
online_platform
publication
research
software
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