  The cyber-physical convergence, the fast expansion of the Internet at its
edge, and tighter interactions between human users and their personal mobile
devices push towards a data-centric Internet where the human user becomes more
central than ever. We argue that this will profoundly impact primarily on the
way data should be handled in the Next Generation Internet. It will require a
radical change of the Internet data-management paradigm, from the current
platform-centric to a human-centric model. In this paper we present a new
paradigm for Internet data management that we name Internet of People (IoP)
because it embeds human behavior models in its algorithms. To this end, IoP
algorithms exploit quantitative models of the humans' individual and social
behavior, from sociology, anthropology, psychology, economics, physics. IoP is
not a replacement of the current Internet networking infrastructure, but it
exploits legacy Internet services as (reliable) primitives to achieve
end-to-end connectivity on a global-scale. In this opinion paper, we first
discuss the key features of the IoP paradigm along with the underlying research
issues and challenges. Then, we present emerging data-management paradigms that
are anticipating IoP.
