Applying the epidemic spreading model on the brain network to explain effective connectivity

Network science studies a complex system as a network to capture the connectivity patterns and topological features. Different network topologies have been observed to shape dynamic spread- ing processes on the network in various ways, while the exact relationship is complicated and not yet fully understood. Epidemic models are often applied to...

Diverse routing in SRLG networks

As our dependency on communication increases so is the demand for protecting these communication lines. To provide failure-safe connections in optical networks, lightpaths can be protected. Protected lightpaths consist of a primary path and a backup path which are disjoint and ensure connection continuity in case of a single link failure....

The Strength of Preference

Growth and preferential attachment are the two ingredients of the scale-free network. Based on the Barabási-Albert scale-free model, we construct a more general model by replacing the linear preferential attachment with the nonlinear preferential attachment. We introduce different networks by controlling a parameter ? which decides the...

Analyzing P2PTV Traffic Via Measurement

Diagnostics of Shortest Path in the Internet

With the Internet growing larger every year and continuously changing overtime, the measurement of large-scale dynamic behaviours of the Internet routing become much harder. While routing protocols have been a subject of a lot of study in the last years, considerably less work has been done on investigating properties of Internet path, say,...