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.
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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 (203 Česká republika, garant, domácí), Tomáš HAMPEJS (203 Česká republika, domácí) a Jan KRÁL (203 Česká republika, domácí).
Vydání Fourth European Conference on Social Networks, 9. - 12.9. 2019, Zürich, 2019.
Další údaje
Originální jazyk angličtina
Typ výsledku Prezentace na konferencích
Obor 60304 Religious studies
Stát vydavatele Švýcarsko
Utajení není předmětem státního či obchodního tajemství
WWW URL
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
Změnil Změnila: Mgr. Monika Kellnerová, učo 430435. Změněno: 2. 3. 2020 14:33.
Anotace
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 VaVNázev: Nekonformní náboženské kultury ve středověké Evropě z pohledu analýzy sociálních sítí a geografických informačních systémů (Akronym: DISSINET)
Investor: Grantová agentura ČR, EXPRO
VytisknoutZobrazeno: 21. 10. 2020 17:57