Before revision:  Importantly, the use of our proposed aggregation framework is not limited to the field of investor trading networks; in fact, it can be used for different non-financial applications, with both observable and inferred relationships, spanning a number of different information layers .
After revision:  We apply this procedure by analyzing a unique data set of Finnish shareholders during the period 2004-2009. We find that households in the capital have high centrality in investor networks, which, under the theory of information channels in investor networks suggests that they are well-informed investors .