TY - JOUR
T1 - The Architecture of Complexity
T2 - From Network Structure to Human Dynamics
AU - Barabási, Albert László
PY - 2007/8
Y1 - 2007/8
N2 - The purpose of this article is to illustrate, through the example of human dynamics, that a thorough understanding of complex systems requires an understanding of network dynamics as well as network topology and architecture. After an overview of the topology of complex networks, such as the Internet and the WWW, data-driven models for human dynamics are given. These models motivate the study of network dynamics and suggest that complexity theory must incorporate the interactions between dynamics and structure. The article also advances the notion that an understanding of network dynamics is facilitated by the availability of large data sets and analysis tools gained from the study of network structure.
AB - The purpose of this article is to illustrate, through the example of human dynamics, that a thorough understanding of complex systems requires an understanding of network dynamics as well as network topology and architecture. After an overview of the topology of complex networks, such as the Internet and the WWW, data-driven models for human dynamics are given. These models motivate the study of network dynamics and suggest that complexity theory must incorporate the interactions between dynamics and structure. The article also advances the notion that an understanding of network dynamics is facilitated by the availability of large data sets and analysis tools gained from the study of network structure.
UR - http://www.scopus.com/inward/record.url?scp=34547816608&partnerID=8YFLogxK
U2 - 10.1109/MCS.2007.384127
DO - 10.1109/MCS.2007.384127
M3 - Article
AN - SCOPUS:34547816608
SN - 1066-033X
VL - 27
SP - 33
EP - 42
JO - IEEE Control Systems
JF - IEEE Control Systems
IS - 4
ER -