Modeling Medieval Incrimination Networks : Quasi-States, Events
or Hyperevents?

k 2025

Modeling Medieval Incrimination Networks : Quasi-States, Events or Hyperevents?

BRYS, Zoltán

Základní údaje

Originální název

Modeling Medieval Incrimination Networks : Quasi-States, Events or Hyperevents?

Autoři

BRYS, Zoltán

Vydání

Sunbelt 2025 - “Social Networks, Mechanisms, and Algorithms”, 23-29 June 2025, Sorbonne Université, Paris, France, 2025

Další údaje

Jazyk

angličtina

Typ výsledku

Prezentace na konferencích

Obor

50401 Sociology

Stát vydavatele

Francie

Utajení

není předmětem státního či obchodního tajemství

Odkazy

conference program

Označené pro přenos do RIV

Organizační jednotka

Filozofická fakulta

Klíčová slova česky

středověké inkviziční procesy; network modelling; dynamické sítě; ERGMs

Klíčová slova anglicky

medieval inquisition trials; incrimination networks; network modelling; dynamic networks; ERGMs

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 26. 1. 2026 17:13, Mgr. Ivona Vrzalová

Anotace

V originále

Inquisitions were established by the Catholic Church in the 13th century to systematically investigate and suppress religious dissent through formal trial procedures. These trials were led by papally appointed inquisitors and documented by notaries, working to gather incriminating evidence against individuals through testimonies. Extant inquisition registers allow us to extract historical incrimination networks, but also raise methodological questions about their optimal representation and analysis. Given the virtual irrevocability of incriminations, we can conceptualize them as quasi-states and use Exponential Random Graph Models (ERGMs) to study the long-term aggregated characteristics of incriminations. However, the ERGM model needs to be adapted to account for the inquisitors' practice of summoning individuals. We can conceptualize incriminations as dyadic events and apply Dynamic Network Actor Models (DyNAM) to focus on individual decision-making patterns. However, as one deponent could incriminate multiple others, Relational Hyperevent Models (RHEM) might be more appropriate as they account for the polyadic nature of incriminations. In this talk, we compare these three approaches by applying them to incrimination networks extracted from multiple medieval inquisition registers.

Návaznosti

101000442, interní kód MU

Název: Networks of Dissent: Computational Modelling of Dissident and Inquisitorial Cultures in Medieval Europe (Akronym: DISSINET)

Investor: Evropská unie, Networks of Dissent: Computational Modelling of Dissident and Inquisitorial Cultures in Medieval Europe, ERC (Excellent Science)

Citovat

BRYS, Zoltán. Modeling Medieval Incrimination Networks : Quasi-States, Events or Hyperevents? In Sunbelt 2025 - “Social Networks, Mechanisms, and Algorithms”, 23-29 June 2025, Sorbonne Université, Paris, France. 2025.

@proceedings{2507693,
   author = {Brys, Zoltán},
   booktitle = {Sunbelt 2025 - “Social Networks, Mechanisms, and Algorithms”, 23-29 June 2025, Sorbonne Université, Paris, France},
   keywords = {medieval inquisition trials; incrimination networks; network modelling; dynamic networks; ERGMs},
   language = {eng},
   title = {Modeling Medieval Incrimination Networks : Quasi-States, Events or Hyperevents?},
   url = {https://sunbelt2025.org/home-2-2/},
   year = {2025}
}

TY  - CONF
ID  - 2507693
AU  - Brys, Zoltán
PY  - 2025
TI  - Modeling Medieval Incrimination Networks : Quasi-States, Events or Hyperevents?
KW  - medieval inquisition trials
KW  - incrimination networks
KW  - network modelling
KW  - dynamic networks
KW  - ERGMs
UR  - https://sunbelt2025.org/home-2-2/
N2  - Inquisitions were established by the Catholic Church in the 13th century to systematically investigate and suppress religious dissent through formal trial procedures. These trials were led by papally appointed inquisitors and documented by notaries, working to gather incriminating evidence against individuals through testimonies. Extant inquisition registers allow us to extract historical incrimination networks, but also raise methodological questions about their optimal representation and analysis. Given the virtual irrevocability of incriminations, we can conceptualize them as quasi-states and use Exponential Random Graph Models (ERGMs) to study the long-term aggregated characteristics of incriminations. However, the ERGM model needs to be adapted to account for the inquisitors' practice of summoning individuals. We can conceptualize incriminations as dyadic events and apply Dynamic Network Actor Models (DyNAM) to focus on individual decision-making patterns. However, as one deponent could incriminate multiple others, Relational Hyperevent Models (RHEM) might be more appropriate as they account for the polyadic nature of incriminations. In this talk, we compare these three approaches by applying them to incrimination networks extracted from multiple medieval inquisition registers.
ER  -

BRYS, Zoltán. Modeling Medieval Incrimination Networks : Quasi-States, Events or Hyperevents? In \textit{Sunbelt 2025 - “Social Networks, Mechanisms, and Algorithms”, 23-29 June 2025, Sorbonne Université, Paris, France}. 2025.

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