activity
20162026
most citedLatent geometry of bipartite networks

34 citations · 48 across the 7 of their papers we have counts for

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Showing physics.soc-phShow all

13 papers · 1 filter

physics.soc-ph2026

Temporal connection probabilities in real networks

Fragkiskos Papadopoulos

Principled prediction of when and where links form in complex networks is a fundamental problem. We derive a closed-form non-Markovian expression for next-step connection probabili…

physics.soc-ph2023★ 8 cited

Fundamental dynamics of popularity-similarity trajectories in real networks

Evangelos S. Papaefthymiou, Costas Iordanou, Fragkiskos Papadopoulos

Real networks are complex dynamical systems, evolving over time with the addition and deletion of nodes and links. Currently, there exists no principled mathematical theory for the…

physics.soc-ph2022★ 1 cited

Dynamics of cold random hyperbolic graphs with link persistence

Sofoclis Zambirinis, Harrison Hartle, Fragkiskos Papadopoulos

We consider and analyze a dynamic model of random hyperbolic graphs with link persistence. In the model, both connections and disconnections can be propagated from the current to t…

physics.soc-ph2022★ 1 cited

Embedding-aided network dismantling

Saeed Osat, Fragkiskos Papadopoulos, Andreia Sofia Teixeira +1

Optimal percolation concerns the identification of the minimum-cost strategy for the destruction of any extensive connected components in a network. Solutions of such a dismantling…

physics.soc-ph2021★ 2 cited

Dynamics of hot random hyperbolic graphs

Fragkiskos Papadopoulos, Sofoclis Zambirinis

We derive the most basic dynamical properties of random hyperbolic graphs (the distributions of contact and intercontact durations) in the hot regime (network temperature ).…

physics.soc-ph2021

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…