Complex networks: Structure and dynamics

By Stefano Boccaletti, Vito Latora, Yamir Moreno, Mario Chavez, Dong-Uk Hwang. 2006

5,533 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/db04bb965705706a844c7ac496f79a25842408e8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Molecular Biology

In Statistical and Nonlinear Physics

Citations in the corpus

Robustness and resilience of complex networks (2024, background): “A broad spectrum of biological, social, socioecological and engineering systems is characterized by units — such as proteins, neurons, individuals or species — that exchange information by means of a complex network of interactions 1–3 .”
Random walks and diffusion on networks (2016, background): “In parallel, “network science” has emerged in recent years as a central approach to the study of complex systems [43–46].”
What are higher-order networks? (2021, background): “networks, ecological networks of interacting species, and epidemic processes on networks [41].”
A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex (2012, background): “works (Boccaletti et al. 2006), cortico-cortical connections are”
Random Walks on Simplicial Complexes and the normalized Hodge Laplacian (2018, background): “As network-based system models have become almost ubiquitous across scientific domains [20,93], graphs and their Laplacians feature prominently in many analysis tasks [9, 12, 40, 64, 87, 89].”
The relation between semantic memory structure, associative abilities, and verbal and figural creativity (2020, methodology): “For each semantic network, the following parameters were calculated: the clustering coefficient (CC), the local efficiency (LE), the global efficiency (GE), and the network modularity (Q) (Boccaletti et al., 2006; Newman, 2006).”
Networks beyond pairwise interactions: structure and dynamics (2020, methodology): “The existence and stability of synchronization and cluster synchronization was assessed via Lyapunov exponents through the Master Stability Function (MSF) formalism [6, 359, 410].”