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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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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
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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
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* 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.
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+Roman Road +Network
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+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
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-Roman Road
-name:(Roman Road)
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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
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Modelling Terrestrial Route Networks (southern Etruria, 950-509 BC)

Authors:
|
|
|
Ignacio Morer
Formats
other, txt
Nodes
708
Edges
1318
Years
-950-500
Access:
|
Added:
2025-12-05

"Ancient regional routes were vital for interactions between settlements and deeply influenced the development of past societies and their “complexification”. At the same time, since any transportation infrastructure needs some level of…

Tags
etruscan
ironage
roads
Modern Countries and Continents
Italy
Structure
Directionality
undirected
Weighted
yes
Hypergraph
no
Longitudinal
yes
Multigraph
no
Multilayer
no
Multipartile
-
Probabilistic
no
Self Loops
no
Signed
no
Spatial
yes
Canonical Citation
Prignano, Luce; Morer, Ignacio; Lozano, Sergi; Fulminante, Francesca (2019), “Data for: Modelling terrestrial route networks to understand inter-polity interactions (southern Etruria, 950-509 BC)”, Mendeley Data, V1, doi: 10.17632/wz29w3d2r9.1
Funding
"LP and IM are supported by the European Research Council Advanced Grant EPNet (340828). FF was supported by the Marie Curie programme, FP7-PEOPLE-2013-IEF, Past-people-nets (628818)..." "SL acknowledges financial support from the Ramón y Cajal programme through the grant RYC-2012-01043 and the Generalitat de Catalunya (Project No.2017SGR-836)."
Data Publisher
Mendeley Data
Network Topics
mobility
roads
Node Topics
site
Edge Topics
road
Node Attributes
id
latitude
longitude
Edge Attributes
length
Uncertainties
Nodes
-
Edges
-
Node Attributes
-
Edge Attributes
-
Statistics
Avg. Clustering Coefficient
-
Avg. Degree
-
Construction

"Empirical networks for each one of the considered Ages.

Data is provided in GDF format. It supports attributes to both nodes and edges. A standard file is divided in two sections, one for nodes and one for edges. Each section has a header line, which basically is the column title. Each element (i.e. node or edge) is on a line and values are separated by coma. The GDF format is therefore very easy to read and can be easily converted from CSV (more info: https://gephi.org/users/supported-graph-formats/gdf-format/).

Here, we provide two node attributes specifying nodes' position ("latitude" and "longitude") and a "weight" attribute associated to edges, which expresses the length of the connections in km."

Sources

Prignano, Luce; Morer, Ignacio; Lozano, Sergi; Fulminante, Francesca (2019), “Data for: Modelling terrestrial route networks to understand inter-polity interactions (southern Etruria, 950-509 BC)”, Mendeley Data, V1, doi: 10.17632/wz29w3d2r9.1

Source Types
repository
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