Modelling the Dynamics of Ancient Egyptian State During the Old Kingdom Period: Hidden Markov Models and Social Network Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F22%3A10453265" target="_blank" >RIV/00216208:11210/22:10453265 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21230/22:00363267

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=McMvCgRfxJ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=McMvCgRfxJ</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1515/zaes-2020-0017" target="_blank" >10.1515/zaes-2020-0017</a>

Result language

angličtina

Original language name

Modelling the Dynamics of Ancient Egyptian State During the Old Kingdom Period: Hidden Markov Models and Social Network Analysis

Original language description

The present study aims to outline new, more adjusted approaches of research addressing social com-plexity of past societies. In doing so, we use varied evi-dence to detect major &apos;leap events&apos; in the history of ancient Egypt which were reflected by the state adminis-tration and its fluctuating complexity. The archaeological and inscriptional evidence shows that crucial changes in history had a non-linear, punctuated character. To reveal their true character, newly developed mathematical models have been applied. The analyses of early complex civilisations have made a noticeable progress recently. The current scholarship pays significant attention to a processual approach, description of the dynamics and its interpretation against the specific background formed by varied datasets originating from disciplines such as archaeology, history, art history, philology or environ-mental sciences to name but a few of the most relevant ones. Within this context, Old Kingdom Egypt evidence is reassessed using specific methods of analysis and inter-pretation. The ancient Egyptian Old Kingdom (2592-2120 BC), one of the earliest territorial states on this planet, is still frequently considered to be a homogenous continuum of isolated historical events manifested in various forms of architecture, art or religion. Some recent studies applied to its study put emphasis on a non-linear, &apos;punctuated approach&apos; which appears to provide some new important perspectives on this traditional problem. The applica-tion of modern mathematical methods based on Hidden Markov Models and Social Network Analysis significantly changes this view. These methods have the potential to detail a vivid, heterogenous process of historical progress as a punctuated equilibria model, as a non-linear system with changing dynamics of its development in time. In this process, human agency, the rise and fluctuation of com-plexity and particular strategies of different social groups played significant roles and can be detected with the help of impartial approaches. The emerging picture can be used not only to describe the evolution of a past society but also for comparative purposes when studying the dynamics of past or present societies.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10102 - Applied mathematics

Project

<a href="/en/project/GA16-07210S" target="_blank" >GA16-07210S: Complex Networks Methods Applied to Ancient Egypt Data in the Old Kingdom (2700-2180 BC)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Zeitschrift für Ägyptische Sprache und Altertumskunde

ISSN

0044-216X

e-ISSN

2196-713X

Volume of the periodical

149

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

16

Pages from-to

1-16

UT code for WoS article

000817848600001

EID of the result in the Scopus database

2-s2.0-85131589672