Understanding complex systems : network approach to information filtering
Motivation: Recently, network theory has emerged as an effective tool to model complex systems by regarding the constituents as vertices, and relevant interactions as edges. Accordingly, the importance to construct representative networks from empirical data sets, which contain meaningful information of the complex systems, has become greater. However, this task is often alluded by: (a) presence of redundancy and heterogeneity, (b) simultaneous presence of two contradicting data structures:...[Show more]
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