Rational Action Approaches and Network Analysis
Network analysis approaches at micro level have been traditionally based on some assumptions about rational actors who invest/exploit their interpersonal ties to fulfil their goals. Network analysis studies both the structural consequences of their strategies and the constraints of social relations on individual strategies, how actors react to them and contribute to structural changes. More recently, the emergence of communication networks based on Internet has encouraged the application of algorithms to analyze big data.
This session accepts empirical papers based on different methods (traditional sociometric approaches, experiments, game theoretical applications, surveys) and different data collection techniques (ego-networks, Small-World, procedures aiming at distinguishing between signal and noise in communication networks). Models and empirical applications based on different theoretical concepts that have been developed in the literature are also welcome, such as strength of weak ties (Granovetter), structural holes (Burt), social capital (Coleman and Lin), bonding and bridging social capital (Portes).