The study of Complex Networks is one of the most recent developements of Complexity science, a discipline of growing relevance for a number of fields of knowledge. The concept of "network", indeed, deals with economical and social phenomena as far as with scientific and technological ones: network structures offer a base for a wide range of dynamic behaviours.

The complexity qualities showed by many network structures can sensibly interact with the developement of different processes: i.e., epidemic spreading or Internet and communication processes.

Network Theory has recently evolved towards new perspectives in scientific research and business opportunities: for example, in the field of Social networks and with ad-hoc wireless networks.

Linkalab mainly deals with the application aspects of Complex Network Theory, with a special attention on the computational side, the optimization of calculation systems and the creation of standard libraries. At the moment, Linkalab staff is working on different research fields, whose variety shows the versatility of the Centre.

> Geographical Complex networks

Geographical and infrastructural networks are strategical as far as economy and security of the community are concerned. Pointing out their weaknessess and forecasting their evolution is essential for each Public administration, and Complex Network Theory offers important planning tools.

> "Life Science" and Complexity

Biology is facing a new revolution due to the massive amount of data coming from the new experimental methods of Proteomics and Genomics. It is clear, by now, that a systemic approach is the only one able to understand the complexity of biological problems. In this perspective, the Complex Network Theory is proving to be very useful.

> Virtual complex networks

Internet world is in turmoil due to the fast growth of Social Networks, "complex networks" by definition. Complex Networking tecniques can be very critical to understand their working and developement patterns.

> Complex Networks Tools

Linkalab is a computational research laboratory: apart from basic research, Linkalab can develop the tools which are needed for research activities. Two groups are working on Python library for the study of complex networks and on geografical data mining.