Studying the impact of minority views in a computational model of collective sensemaking: The role of network structure

Smart, Paul R. (2012) Studying the impact of minority views in a computational model of collective sensemaking: The role of network structure. In, 4th International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE'12), Nice, France, 22 - 27 Jul 2012. 8pp.


[img] PDF (Conference Paper) - Author's Original
Download (809Kb)


A series of experiments were performed in order to explore the effect of communication network structure on collective sensemaking under a variety of informational conditions. A multi-agent computational model of collective sensemaking was used in which each agent was implemented as a constraint satisfaction network. Within the simulations, agents were tasked with the interpretation of information indicating the presence of a particular object, and they were allowed to share information with other agents while performing this task subject to the constraints imposed by the structure of a communication network. In all simulations, a minority of agents (5) received evidence in favor of one interpretation, while a majority of agents (15) received evidence in favor of a conflicting interpretation. Communication networks with four types of topological structure (i.e., disconnected, random, small-world and fully-connected) were used in the experiments. The results suggest that network topology influences the extent to which minority views are able to influence collective cognitive outcomes. In particular, fully-connected networks deliver a performance profile in which minority influence is minimized in situations where both minority and majority groups are exposed to weak evidence. However, the same networks serve to maximize minority influence when minority group members are selectively exposed to strong evidence. These results suggest that fully-connected networks differentially regulate minority influence based on the kinds of evidence presented to both minority and majority group members.

Item Type: Conference or Workshop Item (Paper)
Related URLs:
Keywords: sensemaking, distributed cognition, social influence, network science, collective sensemaking, team sensemaking, social information processing, minority influence, constraint satisfaction network, collective cognition
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 337993
Accepted Date and Publication Date:
7 May 2012Published
Date Deposited: 07 May 2012 12:41
Last Modified: 31 Mar 2016 14:27
Further Information:Google Scholar

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics