71 citations · 253 across the 13 of their papers we have counts for
10 papers · 1 filter
Functional mesoscale organization of complex networks
Arsham Ghavasieh, Satyaki Sikdar, Manlio De Domenico +1
The network density matrix (NDM) framework, enabling an information-theoretic and multiscale treatment of network flow, has been gaining momentum over the last decade. Benefiting f…
Reducibility of higher-order networks from dynamics
Maxime Lucas, Luca Gallo, Arsham Ghavasieh +2
Empirical complex systems can be characterized not only by pairwise interactions, but also by higher-order (group) interactions influencing collective phenomena, from metabolic rea…
Multilayer Network Science: from Cells to Societies
Oriol Artime, Barbara Benigni, Giulia Bertagnolli +5
Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the past decade, multilayer network science -- the branch of…
Diversity of information pathways drives scaling and sparsity in real-world networks
Arsham Ghavasieh, Manlio De Domenico
Empirical complex systems must differentially respond to external perturbations and, at the same time, internally distribute information to coordinate their components. While netwo…
Maximum entropy network states for coalescence processes
Arsham Ghavasieh, Manlio De Domenico
Complex network states are characterized by the interplay between system's structure and dynamics. One way to represent such states is by means of network density matrices, whose v…
Generalized network density matrices for analysis of multiscale functional diversity
Arsham Ghavasieh, Manlio De Domenico
The network density matrix formalism allows for describing the dynamics of information on top of complex structures and it has been successfully used to analyze from system's robus…
Dismantling the information flow in complex interconnected systems
Arsham Ghavasieh, Giulia Bertagnolli, Manlio De Domenico
Microscopic structural damage, such as lesions in neural systems or disruptions in urban transportation networks, can impair the dynamics crucial for systems' functionality, such a…
Statistical physics of complex information dynamics
Arsham Ghavasieh, Carlo Nicolini, Manlio De Domenico
The constituents of a complex system exchange information to function properly. Their signalling dynamics often leads to the appearance of emergent phenomena, such as phase transit…
Unraveling the effects of multiscale network entanglement on disintegration of empirical systems
Arsham Ghavasieh, Massimo Stella, Jacob Biamonte +1
Complex systems are large collections of entities that organize themselves into non-trivial structures that can be represented by networks. A key emergent property of such systems…
Enhancing transport properties in interconnected systems without altering their structure
Arsham Ghavasieh, Manlio De Domenico
Units of complex systems -- such as neurons in the brain or individuals in societies -- must communicate efficiently to function properly: e.g., allowing electrochemical signals to…