  This thesis summarises my scientific contributions in the domain of network
science, human dynamics and computational social science. These contributions
are associated to computer science, physics, statistics, and applied
mathematics. The goal of this thesis is twofold, on one hand to write a concise
summary of my most interesting scientific contributions, and on the other hand
to provide an up-to-date view and perspective about my field. I start my
dissertation with an introduction to position the reader on the landscape of my
field and to put in perspective my contributions. In the second chapter I
concentrate on my works on bursty human dynamics, addressing heterogeneous
temporal characters of human actions and interactions. Next, I discuss my
contributions to the field of temporal networks and give a synthesises of my
works on various methods of the representation, characterisation, and modelling
of time-varying structures. Finally, I discuss my works on the data-driven
observations and modelling of collective social phenomena. There, I summarise
studies on the static observations of emergent patterns of socioeconomic
inequalities and their correlations with social-communication networks, and
with linguistic patterns. I also discuss dynamic observations and modelling of
social contagion processes.
