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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 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
Maintainers
Formats
csv, other
Nodes
138
Edges
1952
Years
-900-800
Access
|
Added
2025-12-04
36

"From its earliest stages on, the rise of computational approaches in the humanities—whether in archaeology, history, or digital humanities more generally—has been accompanied by discussions and critical reflections on the way in which data-driven research methods are informed by the representation of research objects as data structures. Various dimensions, challenges, and characteristics can be roughly divided into three intersecting aspects: the subjectivity of data, their complexity, and their size. Archaeological network analysis as a formal, quantitative method is situated firmly within the tension between these fields, and many authors focus on the application of network research to archaeological data while respecting their complex nature. This paper adds to this growing body of work by focusing on the specificities of a medium-sized data set that offers multiple perspectives on a complex question of social archaeology: the study of intersecting social identities and their materialisation in funeral assemblages, particularly of a collective identity of high status-individuals or “elites”, during the Late Urnfield Period. It offers a mixed-methods approach that centres quantitative results and qualitative contextualization across different scales, and minimises loss of information and context, while transparently disclosing its practices of data selection, pre-processing, and analysis. In doing so, it aims to make the reflective positionings of “slow data” and “slow technology” productive for a methodology of “slow networks”

From https://link.springer.com/article/10.1007/s10816-025-09698-5#Abs1

Tags
co-occurrence
urnfield
Modern Countries and Continents
Austria
Czechia
France
Germany
Slovakia
Switzerland
Structure
Directionality
directed and undirected
Weighted
yes
Hypergraph
no
Longitudinal
no
Multigraph
no
Multilayer
yes
Multipartile
-
Probabilistic
no
Self Loops
no
Signed
no
Spatial
yes
Canonical Citation
Deicke, A. (2024). Dataset "Elite Burials of the Late Urnfield Period" [Data set]. I Zwischen Individuum und *communitas*. Identitätskonstruktion späturnenfelderzeitlicher Eliten im Spiegel funeraler Statusnetzwerke (2.0). Zenodo. https://doi.org/10.5281/zenodo.13746647
Funding
Open Access funding enabled and organized by Projekt DEAL.
Data Publisher
Zenodo
Network Topics
material-similarity
Node Topics
artefact
grave
Edge Topics
co-occurrence
similarity
Node Attributes
-
Edge Attributes
-
Uncertainties
Nodes
-
Edges
-
Node Attributes
-
Edge Attributes
-
Statistics
Avg. Clustering Coefficient
-
Avg. In Degree
-
Avg. Out Degree
-
Construction

"For the analysis, several networks were created that can all be traced back to the same basic configuration: a two-mode network consisting of graves and the features associated with it, be it grave goods or architectural elements (Fig. 2). This model abstracts the materialised “lived experience” (Knappett, 2011) of the burial process—the finds and the physical features in which identities were represented and negotiated—by concentrating it in the interaction of the edge. This relation signifies the act of selecting these features to construct the grave, and consequently, the social persona of the deceased as detailed above. On a technical level, it is undirected and unweighted; the last due to the imbalance between the different amounts of specific objects deposited. For example, in the grave of Blaubeuren-Asch (3), one sword would otherwise be counted against 30 arrowheads, while for other finds such as rings of a belt no number is given at all."

"Two-mode networks are of particular importance to the approach taken in this paper. Also known as bimodal or affiliation networks, they are commonly used in the study of funeral assemblages (cf. Donnellan, 2016a, 2016b; Sosna, 2023; Sosna et al., 2012). In general, their analysis is met with a number of challenges, as algorithms have to be adapted to their particular structure. However, they enable the integration of an additional layer of information into the graph (Blair, 2023; Borgatti & Everett, 1997; Everett & Borgatti, 2013, see also the discussion of bimodal clustering below). This is especially relevant if both modes contribute important information to the research question at hand, as is the case here: while the mode of features facilitates a deeper understanding of the patterns of identity representation, the mode of graves helps to map this understanding to specific geographical and cultural contexts. Following Breiger (1974), the bimodal network allows us to explore the duality of social persona and collective identity, to switch between these two perspectives, and to closely relate them to each other.

In addition to the construction of the network model, the interpretation of this duality requires us to consider two further questions: firstly, what precisely flows through the network (Borgatti, 2005), and secondly, what is the meaning of the network structure that emerges from the entanglement of dyads (Brandes et al., 2013). As already established, the individual edges symbolize steps of a selection process to construct social identity/identities in the grave; consequently, in its entirety, the network structure indicates to which degree burial communities shared conceptions of the funerary representation of status and identity, and if these conceptions may reasonably be assumed to have been standardised or normative. This understanding of nodes, edges, and structure of the network draws on the work of Mizoguchi (2013)."

Sources

Deicke, A. (2024). Dataset "Elite Burials of the Late Urnfield Period" [Data set]. I Zwischen Individuum und *communitas*. Identitätskonstruktion späturnenfelderzeitlicher Eliten im Spiegel funeraler Statusnetzwerke (2.0). Zenodo. https://doi.org/10.5281/zenodo.13746647

Source Types
repository

Bekiari, C., Bruseker, G., Canning, E., Doerr, M., Michon, P., Christian-Emil, O., Stephen, S., & Velios, A. (2022). Volume A: Definition of the CIDOC Conceptual Reference Model. Version 7.1.2. ICOM/CIDOC Documentation Standards Group/CRM Special Interest Group.

Source Types
publication
software
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