engleski

Bio-inspired Clustering and Data Diffusion in Machine Social Networks

At the end of 2010, we are at the effective end of the second phase of research in the field of Social Networks (SNs) and aspects such as Human- to-Human (H2H) interactions have pretty much had their days as the Machine-to-Machine (M2M) interactions have now moved on. This chapter will provide a useful insight into the differences between those two types of SNs: the human SNs (hSNs) based on H2H interactions and the machine SNs (mSNs) based on M2M interactions. During the last two decades the rapid improvements in computing and communication technologies have enabled a proliferation of hSNs and we believe they will induce the formation of mSN in the next decades. To this end, we will show how to achieve SNs analyses (e.g. clustering and data diffusion) by connecting ethological approaches to social behaviour in animals (e.g. the study of firefly synchronization) and M2M interactions.

social networking evolution, machine social networks, synchronization, clustering, data diffusion

nije evidentirano