7 papers
Dynamic Hidden-Variable Network Models
Harrison Hartle, Fragkiskos Papadopoulos, Dmitri Krioukov
Models of complex networks often incorporate node-intrinsic properties abstracted as hidden variables. The probability of connections in the network is then a function of these var…
Weighted hypersoft configuration model
Ivan Voitalov, Pim van der Hoorn, Maksim Kitsak +2
Maximum entropy null models of networks come in different flavors that depend on the type of constraints under which entropy is maximized. If the constraints are on degree sequence…
Hyperbolic Mapping of Human Proximity Networks
Marco A. Rodríguez-Flores, Fragkiskos Papadopoulos
Human proximity networks are temporal networks representing the close-range proximity among humans in a physical space. They have been extensively studied in the past 15 years as t…
k-core structure of real multiplex networks
Saeed Osat, Filippo Radicchi, Fragkiskos Papadopoulos
Multiplex networks are convenient mathematical representations for many real-world -- biological, social, and technological -- systems of interacting elements, where pairwise inter…
Latent geometry and dynamics of proximity networks
Fragkiskos Papadopoulos, Marco Antonio Rodríguez Flores
Proximity networks are time-varying graphs representing the closeness among humans moving in a physical space. Their properties have been extensively studied in the past decade as…
Similarity forces and recurrent components in human face-to-face interaction networks
Marco Antonio Rodríguez Flores, Fragkiskos Papadopoulos
We show that the social dynamics responsible for the formation of connected components that appear recurrently in face-to-face interaction networks, find a natural explanation in t…