1 code implementation • 28 Jun 2019 • Fragkiskos Papadopoulos, Marco Antonio Rodríguez Flores
Here, we show that many of the observed properties of proximity networks emerge naturally and simultaneously in a simple latent space network model, called dynamic-$\mathbb{S}^{1}$.
Physics and Society Statistical Mechanics Social and Information Networks
1 code implementation • 2 Aug 2018 • 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 the assumption that the agents of the temporal network reside in a hidden similarity space.
Physics and Society Statistical Mechanics Social and Information Networks
1 code implementation • 3 Jul 2018 • Fragkiskos Papadopoulos, Kaj-Kolja Kleineberg
We also find that link persistence is significant in all considered multiplexes and can explain their layers' high edge overlap, which cannot be explained by coordinate correlations alone.
Social and Information Networks Data Analysis, Statistics and Probability Physics and Society
1 code implementation • 30 Nov 2015 • Savvas Zannettou, Michael Sirivianos, Fragkiskos Papadopoulos
Usually, MPTCP is combined with flow-based Equal-Cost Multi-Path Routing (ECMP), which uses random hashing to split the MPTCP subflows over different paths.
Networking and Internet Architecture C.2.1
1 code implementation • 19 Feb 2015 • Fragkiskos Papadopoulos, Rodrigo Aldecoa, Dmitri Krioukov
We introduce and explore a new method for inferring hidden geometric coordinates of nodes in complex networks based on the number of common neighbors between the nodes.
Social and Information Networks Networking and Internet Architecture Physics and Society
1 code implementation • 20 May 2012 • Fragkiskos Papadopoulos, Constantinos Psomas, Dmitri Krioukov
However these promises cannot be readily fulfilled and lead to important practical applications, without a simple, reliable, and fast network mapping method to infer the latent geometric coordinates of nodes in a real network.
Social and Information Networks Statistical Mechanics Networking and Internet Architecture Physics and Society
