Filters
Selected Filters
None
Available Filters
Modern Countries and Continents
File Formats
Network Tags
Network Topics
Node Topics
Edge Topics
Directionality
Weighted
General

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
license.licenseId
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 "name" 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

People and places mentioned in select Zenon papyri

Authors
Lena Tambs
Maintainers
Formats
other
Nodes
279
Edges
514
Years
-263–-259
Access
|
Added
2025-04-17
16

Of the included networks (listed below), this entry describes 'Tambs_3partite_casestudy.gexf'.

Tags
ancient_archive
co-attestation
k-partite
papyri
ptolemaic
Modern Countries and Continents
Egypt
Structure
Directionality
directed
Weighted
no
Hypergraph
no
Longitudinal
no
Multigraph
yes
Multilayer
no
Multipartile
-
Probabilistic
no
Self Loops
no
Signed
no
Spatial
no
Data Url
https://doi.org/10.5281/zenodo.13963730
Canonical Citation
Tambs, L. (2025) ‘People and Things on the Move (supplementary material)’. Zenodo. DOI: 10.5281/zenodo.13963730.
License
Creative Commons Attribution 4.0 International
Funding
The research presented in the article the dataset relates to was carried out under the Centre of Excellence in Ancient Near Eastern Empires (ANEE), funded by the Research Council of Finland (decision no. 352747). The larger Zenon project is now supported by the Kone Foundation. The study was published open access with support from ANEE (Research Council of Finland, decision no. 352748).
Data Publisher
Zenodo
Related Publications
Tambs, L. (2025) People and Things on the Move: Tracking Paths With Social Network Analysis. Open Archaeology, Vol. 11 (Issue 1), pp. 20250040. DOI: https://doi.org/10.1515/opar-2025-0040
Network Topics
economic
mobility
social
Node Topics
person
place
text
Edge Topics
attestation
Node Attributes
accessibility
archive_id
century
collection
copy
date
document_subtype
document_type
inventory
language
latitude
longitude
material
node_type
notes
occupation
possible_cross-ident.
provenance(written)
region
relation_to_archive
sex
sigla
subject_matter
timeslot(s)
Edge Attributes
agency
certainty
characteristics
cultural_identity
from(place)
greek_title
in(place)
label
language
line
notes
occupational_role
origin
role
tm_action
to(place)
type
where_in_text
Uncertainties
Nodes
-
Edges
-
Node Attributes
-
Edge Attributes
-
Construction

To build these networks, the following steps were taken:

  • lists of people attested in Zenon papyri from the online Trismegistos databases (https://www.trismegistos.org/) were extracted with F. Alvares Freire's “attestation per document” python webscraper (www.github.com/fernandaalvaf/Attestation-per-Document.) in 2021
  • the outputs were cleaned and relevant information integrated into the project's relational database (MS Access)
  • next, the ancient texts were read and text publications consulted for the purpose of extending and enriching the dataset through methods of close reading and literature review.
  • for modelling the networks, relevant data were queried, exported and imported to Gephi (https://gephi.org/) for network analysis and visualisation
Sources

- Trismegistos: https://www.trismegistos.org/

- Text publications of the 36 texts that make up the case study

Source Types
ancient_archive
•
online_platform
•
publication
•
research
Add. Comments

Whereas various networks are presented in the repository (see description above), network characteristics here describe the 3-partite network of people and places mentioned in the 36 texts from the Zenon archive that made up the case study (i.e. model 'Tambs_3partite_casestudy', visualised as 'Tambs_Fig4').

1 - 1 / 1