Utilize este identificador para referenciar este registo: http://hdl.handle.net/10437/14288
Título: ParShift: a Python package to study order and differentiation in group conversations
Autores: Saraiva, Bruno David Ferreira
Carvalho, João P. Matos
Fachada, Nuno
Pita, Manuel Arturo Marques
Palavras-chave: GRUPOS
GROUPS
INTERAÇÃO SOCIAL
SOCIAL INTERACTION
COMPORTAMENTO SOCIAL
SOCIAL BEHAVIOUR
INFORMÁTICA
COMPUTER SCIENCE
Editora: Elsevier
Citação: Ferreira-Saraiva, B.D., Matos-Carvalho, J.P., Fachada, N. & Pita, M. (2023). ParShift: a Python package to study order and differentiation in group conversations. SoftwareX, 24. 101554. https://doi.org/10.1016/j.softx.2023.101554
Resumo: Collective organization in multi-party conversations emerges through the exchange of utterances between participants. While most research has focused on content-centred mechanisms that lead to emergent conversational coordination, less attention has been given to explaining conversational order based on who is addressed and who responds, especially when dealing with large conversational datasets. In this paper, we introduce a Python library, ParShift, that implements a state-of-the-art theoretical quantitative framework known as Participation Shifts. This framework enables researchers to study participant-centred order and differentiation in multi-party conversations. With ParShift, researchers can characterize conversations by quantifying the probabilities of events related to how people address each other during conversations. This library is particularly useful for studying conversation threads in social networks, parliamentary debates, team meetings, or student debates on a large scale. Keywords: Small groups Social interaction Participation shifts Interpersonal coordination Turn-taking Emergent social behaviour
Descrição: SoftwareX
URI: https://doi.org/10.1016/j.softx.2023.101554
http://hdl.handle.net/10437/14288
ISSN: 2352-7110
Aparece nas colecções:FE - Artigos de Revistas Internacionais com Arbitragem Científica

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