  Large dataset collected from Ubuntu chat channel is studied as a complex
dynamical system with emergent collective behaviour of users. With the
appropriate network mappings we examined wealthy topological structure of
Ubuntu network. The structure of this network is determined by computing
different topological measures. The directed, weighted network, which is a
suitable representation of the dataset from Ubuntu chat channel is
characterized with power law dependencies of various quantities, hierarchical
organization and disassortative mixing patterns. Beyond the topological
features, the emergent collective state is further quantified by analysis of
time series of users activities driven by emotions. Analysis of time series
reveals self-organized dynamics with long-range temporal correlations in user
actions.
