Programmes for Representing and Discovering Type of User Behaviour in Online Communities

In this document we describe work produced within work package 3 to represent the behaviour of a community of users using numeric features and to discover the types of behaviour, or roles, that users assume within online communities. We explain the process of extracting behavioural features, the combined approach of clustering and role label derivation through which we identify roles that are present within a given online community platform (as an example using the SAP Community Network), and the rule-based methodology that we have implemented to infer the roles that users assume at future time steps.

ROBUST-D3.2-Representing-and-discovering-user-behaviour.pdf — PDF document, 1.298 kB (1.330.011 bytes)

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