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

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topic.edgeAttributes.txt
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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.
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Roma?
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Search words including or ending with and an unknown set of characters. The wildcard
?
matces a single character and
*
matches 0-n characters.
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~
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
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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
39

"Dataset of variables and results for network and spatial analysis of cult sites, their benefactors and gods in the Hauran (southern Syria) in the Roman period. The dataset includes data tables of cult sites, inscriptions, benefactors, and gods. Additionally, it includes georeferenced vector data of road networks, cult sites, and PPA analysis. PPA (Proximal Point Analysis) uses geographical space to identify the nearest, in this case, three cult sites within a given dataset. PPA is also applied by using roads."

From https://journals.openedition.org/mythos/5802

Tags
cult-site
deities
inscriptions
religion
roman
soldiers
Modern Countries and Continents
Syria
Structure
Directionality
directed and undirected
Weighted
yes
Hypergraph
no
Longitudinal
-
Multigraph
no
Multilayer
no
Multipartile
-
Probabilistic
no
Self Loops
no
Signed
no
Spatial
yes
Canonical Citation
Mazzilli, Francesca, 2022, "Supporting Data for: Roman Soldiers in the Religious, Social, and Spatial Network of the Hauran", https://doi.org/10.18710/3UF8MQ, DataverseNO, V1
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 892166.
Data Publisher
DataverseNO
Network Topics
epigraphy
religion
roads
spatial
Node Topics
site
Edge Topics
benefactor
road
Node Attributes
date
deity
latitude
legion
longitude
node_type
phase
pre-provincial
provincial
rural
urban
Edge Attributes
benefactor
Uncertainties
Nodes
-
Edges
-
Node Attributes
-
Edge Attributes
-
Statistics
Avg. Clustering Coefficient
-
Avg. In Degree
-
Avg. Out Degree
-
Construction

"The data collected from the author come from various published sources, which have been referenced in the Excel file 02_Inscriptions_BenefactorsQuantity_SingleBenefactors_Zeus_PreprovincialDeities_Deities_MainDeities.xlsx (referred in Table 2 in the article) and the Excel file 03_Architecture_Statues (referred in Table 3 in the article). Their bibliography is in the research article in Mythos. 01_Cult_Site_Location_Types_Provincial.xlsx is also an Excel file referred as Table 1 in the article, which provides an overview of information about cult sites. Excel files provide referenced and bibliographic data. Their csv versions have been also provided, under the same name.

Csv and georeferenced vector files are raw data used for network and spatial analyses which resulted and are displayed in figures in the article. The georeferenced csv file of provincial cult sites (01_Cult_Site_Provincial.csv) was used to undertake PPA resulted into the georeferenced vector file (04_PPA file). PPA (Proximal Point Analysis) uses geographical space to identify the nearest, in this case, three cult sites within a given dataset. PPA is also applied by using only Roman (known) roads, those with secondary roads and both types of roads with hypothetical roads. The georeferenced vector files of road network (05_Roman_Roads, 06_Roman_Roads_and_Secondary_Roads, 07_Roman_and_Hypothetical_ Roads) and the georeferenced vector file of provincial cult sites within 5 km of radius from the roads (08_Cult_Sites_within_5km_from_roads) were used to undertake PPA using roads resulting in the georeferenced vector files (09_Roman_Roads_PPA, 10_Roman_Roads_and_Secondary_Roads_PPA, 11_Roman_and_Hypothetical_ Roads_PPA). The cult sites within 5 km from the road (08_Cult_Sites_within_5km_from_roads) was created through GIS software by using the georeferenced csv file of provincial cult sites (01_Cult_Site_Provincial.csv) and the georeferenced vector files of road network (05_Roman_Roads, 06_Roman_Roads_and_Secondary_Roads, 07_Roman_and_Hypothetical_ Roads).

The road network has been built from Bauzou’s work: Bauzou 1985: T. Bauzou, « Le voises de communication dans du Hauran à l’époque romaine », in J.-M. Denzter Hauran I: recherches archéologiques sur la Syrie du Sud a l’époque hellénistique et romaine, Paris 1985, 137-166. Bauzou 1985: T. Bauzou, « Le réseau routier de la Syrie du sud (Hawran, Jawlan) », in J. Dentzer-Feydy, J.-M. Dentzer and P.-M. Blanc (eds), Hauran II: les installations de S? 8 du sanctuaire à l’établissement viticole, Beyrouth 2003, 289-310 Data can be reused using free software, like QGIS, Version: 3.16.13 and Visone, Version: 2-18, which have been used for this research. They can be also uploaded to and used in any network analysis software and GIS (Geographical Information System) software. To upload csv and vector data files to QGIS or any GIS software use the Coordinate Reference System (CRS) EPSG: 4326 – WGS 84."

Sources

Bauzou 1985: T. Bauzou, « Les voies de communication dans le Hauran à l’époque romaine », in Hauran I (1985), 137-166.

Source Types
publication

Bauzou 2003: T. Bauzou, « Le réseau routier de la Syrie du sud (Hawran, Jawlan) », in Hauran II (2003), 289-310.

Source Types
publication

Mazzilli, Francesca, 2022, "Supporting Data for: Roman Soldiers in the Religious, Social, and Spatial Network of the Hauran", https://doi.org/10.18710/3UF8MQ, DataverseNO, V1

Source Types
dataset

Mazzilli 2018: F. Mazzilli, Rural Cult Centres in the Hauran: Part of the Broader Network of the Near East, Oxford 2018.

Source Types
gazetteer
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