The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

The possibility to analyze everyday monetary transactions is limited by the scarcity of
available data, as this kind of information is usually considered highly sensitive. Present …

Production systems, traditionally analyzed as almost independent national systems, are
increasingly connected on a global scale. Only recently becoming available, the World Input …

Complex systems are extremely hard to predict due to its highly nonlinear interactions and
rich emergent properties. Thanks to the rapid development of network science, our …

Within the last fifteen years, network theory has been successfully applied both to natural
sciences and to socioeconomic disciplines. In particular, bipartite networks have been …

Reconstructing complex networks from measurable data is a fundamental problem for
understanding and controlling collective dynamics of complex networked systems. However …

Our ability to uncover complex network structure and dynamics from data is fundamental to
understanding and controlling collective dynamics in complex systems. Despite recent …

We address a fundamental problem that is systematically encountered when modeling real-
world complex systems of societal relevance: the limitedness of the information available. In …

Controlling complex systems is a fundamental challenge of network science. Recent
advances indicate that control over the system can be achieved through a minimum driver …

Different from the direct contact in epidemics spread, overload failures propagate through
hidden functional dependencies. Many studies focused on the critical conditions and …