2-3 maggio 2023
Ischia Island, Naples (Italy)
Europe/Rome timezone

Comparing Fuzzy Collective Maps to Explore Small Groups’ Strategies and Cognitive Styles

02 mag 2023, 12:45
15m
Room Forio ()

Room Forio

Oral Presentation Textual data analysis and network methods Textual data analysis and network methods

Speaker

Marco Castellani (Department of Economics and Management, University of Brescia)

Description

The use of fuzzy cognitive maps (FCMs) is increasingly common in any field in which it is necessary to investigate the relationship between decision makers’ intentions and choices that need to be made under conditions of increasing uncertainty. Our study shows how collective fuzzy maps can be useful to compare the cognitive representations of four small groups that were involved in as many brainstorming practices. Such method was aimed at reconstructing members’ comprehensive viewpoint of a shared problem-solving set- ting. The research did not require neither a preliminary stage of elements elicitation nor a subsequent arrangement of constructs (like in any repertory grid technique for example), but a single step that reproduced reasoning paths and expected consequences of intervention policies on a specific scenario (as it happens in the oval mapping technique). On the one hand, the comparison of the four maps resulted in graph theory standard indices of each fuzzy cognitive map (hence to show the concept contribution in the FCM). This helped us highlight the role of common issues in developing specific territorial policies and show a possible explanatory framework of the current status. On the other hand, with a kind of process tracing technique we were also able to identify various maps’ singularities that allowed for broader thoughts and considerations on ideas/policies that were not convergent in the different groups.

Topics • Textual data analysis and network methods
Keywords textual data analysis and network methods; fuzzy cognitive maps; graph theory

Primary author

Marco Castellani (Department of Economics and Management, University of Brescia)

Co-authors

Prof. Federico Bianchi (Department of Social and Political Sciences)

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