Assessing the Validity of Social Network Graphs Constructed
from Name Co-Occurrence : The Example of Medieval Inquisitorial
Records

k 2019

Assessing the Validity of Social Network Graphs Constructed from Name Co-Occurrence : The Example of Medieval Inquisitorial Records

ZBÍRAL, David; Tomáš HAMPEJS a Jan KRÁL

Základní údaje

Originální název

Assessing the Validity of Social Network Graphs Constructed from Name Co-Occurrence : The Example of Medieval Inquisitorial Records

Autoři

ZBÍRAL, David; Tomáš HAMPEJS a Jan KRÁL

Vydání

Fourth European Conference on Social Networks, 9. - 12.9. 2019, Zürich, 2019

Další údaje

Jazyk

angličtina

Typ výsledku

Prezentace na konferencích

Obor

60304 Religious studies

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14210/19:00107724

Organizační jednotka

Filozofická fakulta

Klíčová slova anglicky

medieval heresy; social network analysis; network extraction from texts

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 23. 5. 2024 21:48, prof. PhDr. David Zbíral, Ph.D.

Anotace

V originále

The growing interest in the formal methods of network analysis in historical research has brought into focus older printed resources containing structured data, such as catalogues (of artifacts, inscriptions, manuscripts, etc.), dictionaries (biographical and other), gazetteers, various structured lists, etc. One such type of resource, widely represented in the history of religions as a field, is indices of personal names contained in editions of sources, which may serve for constructing social networks on the basis of the co-occurrence of names in a textual unit (page, manuscript folio, paragraph, etc.). This paper will focus on selected medieval inquisitorial registers as a test case for quantifying the validity of this method through the comparison of networks validated by manual coding with those created automatically on the basis of name co-occurrence. The aim is to show that this seemingly rather rough method can produce comparatively valid outputs if used with discernment and in an iterative way, where the exploration of the outputs helps to fine-tune the initial index of persons and the process of network construction. Another point will be that the validity also depends largely on the kind of research question such an automatically constructed network is used to answer. Finally, the paper will demonstrate that empirical comparison between the outcomes of the manual and the automated approaches is not always in favour of the manual one, as we might expect; in fact, the automated procedure allows some errors typical of human coders to be avoided.

Návaznosti

GX19-26975X, projekt VaV

Název: Nekonformní náboženské kultury ve středověké Evropě z pohledu analýzy sociálních sítí a geografických informačních systémů (Akronym: DISSINET)

Investor: Grantová agentura ČR, Nekonformní náboženské kultury ve středověké Evropě z pohledu analýzy sociálních sítí a geografických informačních systémů

Citovat

ZBÍRAL, David; Tomáš HAMPEJS a Jan KRÁL. Assessing the Validity of Social Network Graphs Constructed from Name Co-Occurrence : The Example of Medieval Inquisitorial Records. In Fourth European Conference on Social Networks, 9. - 12.9. 2019, Zürich. 2019.

@proceedings{1570519,
   author = {Zbíral, David and Hampejs, Tomáš and Král, Jan},
   booktitle = {Fourth European Conference on Social Networks, 9. - 12.9. 2019, Zürich},
   keywords = {medieval heresy; social network analysis; network extraction from texts},
   language = {eng},
   title = {Assessing the Validity of Social Network Graphs Constructed from Name Co-Occurrence : The Example of Medieval Inquisitorial Records},
   url = {https://www.eusn2019.ethz.ch/wp-content/uploads/2019/09/190905_EUSN_Session-Programme-Complete-1.pdf},
   year = {2019}
}

TY  - CONF
ID  - 1570519
AU  - Zbíral, David - Hampejs, Tomáš - Král, Jan
PY  - 2019
TI  - Assessing the Validity of Social Network Graphs Constructed from Name Co-Occurrence : The Example of Medieval Inquisitorial Records
KW  - medieval heresy
KW  - social network analysis
KW  - network extraction from texts
UR  - https://www.eusn2019.ethz.ch/wp-content/uploads/2019/09/190905_EUSN_Session-Programme-Complete-1.pdf
N2  - The growing interest in the formal methods of network analysis in historical research has brought into focus older printed resources containing structured data, such as catalogues (of artifacts, inscriptions, manuscripts, etc.), dictionaries (biographical and other), gazetteers, various structured lists, etc. One such type of resource, widely represented in the history of religions as a field, is indices of personal names contained in editions of sources, which may serve for constructing social networks on the basis of the co-occurrence of names in a textual unit (page, manuscript folio, paragraph, etc.). This paper will focus on selected medieval inquisitorial registers as a test case for quantifying the validity of this method through the comparison of networks validated by manual coding with those created automatically on the basis of name co-occurrence. The aim is to show that this seemingly rather rough method can produce comparatively valid outputs if used with discernment and in an iterative way, where the exploration of the outputs helps to fine-tune the initial index of persons and the process of network construction. Another point will be that the validity also depends largely on the kind of research question such an automatically constructed network is used to answer. Finally, the paper will demonstrate that empirical comparison between the outcomes of the manual and the automated approaches is not always in favour of the manual one, as we might expect; in fact, the automated procedure allows some errors typical of human coders to be avoided.
ER  -

ZBÍRAL, David; Tomáš HAMPEJS a Jan KRÁL. Assessing the Validity of Social Network Graphs Constructed from Name Co-Occurrence : The Example of Medieval Inquisitorial Records. In \textit{Fourth European Conference on Social Networks, 9. - 12.9. 2019, Zürich}. 2019.

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