F
Fragkiskos Papadopoulos
Researcher at Cyprus University of Technology
Publications - 50
Citations - 3392
Fragkiskos Papadopoulos is an academic researcher from Cyprus University of Technology. The author has contributed to research in topics: Complex network & Degree distribution. The author has an hindex of 17, co-authored 47 publications receiving 2815 citations. Previous affiliations of Fragkiskos Papadopoulos include University of Southern California & University of California, San Diego.
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Hyperbolic geometry of complex networks
TL;DR: It is shown that targeted transport processes without global topology knowledge are maximally efficient, according to all efficiency measures, in networks with strongest heterogeneity and clustering, and that this efficiency is remarkably robust with respect to even catastrophic disturbances and damages to the network structure.
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Popularity versus similarity in growing networks
TL;DR: It is shown that popularity is just one dimension of attractiveness; another dimension is similarity, and a framework in which new connections optimize certain trade-offs between popularity and similarity is developed, instead of simply preferring popular nodes.
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Sustaining the Internet with Hyperbolic Mapping
TL;DR: This paper presents a method to map the Internet to a hyperbolic space and shows that Internet routing exhibits scaling properties that are theoretically close to the best possible, thus resolving serious scaling limitations that the Internet faces today.
Greedy Forwarding in Dynamic Scale-Free Networks Embedded in Hyperbolic Metric Spaces: Technical Report
TL;DR: These findings suggest that forwarding information through complex networks, such as the Internet, is possible without the overhead of existing routing protocols, and may also find practical applications in overlay networks for tasks such as application-level routing, information sharing, and data distribution.
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Curvature and temperature of complex networks
TL;DR: It is shown that heterogeneous degree distributions in observed scale-free topologies of complex networks can emerge as a consequence of the exponential expansion of hidden hyperbolic space and a remarkable congruency between the embedding and the model is found.