Elucidating the spatial and temporal dynamics of how things connect has become one of the most
important areas of research in the 21st century. Network science now pervades nearly every
science domain resulting in new discoveries in a host of dynamic social and natural systems
including: how neurons connect and communicate in the brain how information percolates within
and among social networks the evolution of science research through co-authorship networks
the spread of epidemics and many other complex phenomena.Over the past decade advances in
computational power have put the tools of network analysis in the hands of increasing numbers
of scientists enabling more explorations of our world than ever before possible. Information
science social sciences systems biology ecosystems ecology neuroscience and physics all
benefit from this movement which combines graph theory with data sciences to develop and
validate theories about the world around us.This book brings together cutting-edge research
from the network science field and includes diverse and interdisciplinary topics such as:
modeling the structure of urban systems behavior in social networks education and learning
data network architecture structure and dynamics of organizations crime and terrorism as
well as network topology modularity and community detection.
