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19972024
most citedHyperbolic Geometry of Complex Networks

1.1k citations · 11.6k across the 67 of their papers we have counts for

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30 papers · 1 filter

physics.soc-ph2023★ 7 cited

Random graphs and real networks with weak geometric coupling

J. van der Kolk, M. Á. Serrano, M. Boguñá

Geometry can be used to explain many properties commonly observed in real networks. It is therefore often assumed that real networks, especially those with high average local clust…

physics.soc-ph2021★ 37 cited

Detecting the ultra low dimensionality of real networks

Pedro Almagro-Blanco, Marian Boguna, M. Angeles Serrano

Reducing dimension redundancy to find simplifying patterns in high-dimensional datasets and complex networks has become a major endeavor in many scientific fields. However, detecti…

physics.soc-ph2021★ 17 cited

A geometry-induced topological phase transition in random graphs

Jasper van der Kolk, M. Ángeles Serrano, Marián Boguñá

Clustering $\unicode{x2013}$ the tendency for neighbors of nodes to be connected $\unicode{x2013}$ quantifies the coupling of a complex network to its latent metric space. In rando…

physics.soc-ph2020★ 224 cited

Network Geometry

Marian Boguna, Ivan Bonamassa, Manlio De Domenico +3

Real networks are finite metric spaces. Yet the geometry induced by shortest path distances in a network is definitely not its only geometry. Other forms of network geometry are th…

physics.soc-ph2019★ 39 cited

Small worlds and clustering in spatial networks

Marian Boguna, Dmitri Krioukov, Pedro Almagro-Blanco +1

Networks with underlying metric spaces attract increasing research attention in network science, statistical physics, applied mathematics, computer science, sociology, and other fi…

physics.soc-ph2019★ 2 cited

Community Detection in the Hyperbolic Space

Matteo Bruno, Sandro Ferreira Sousa, Furkan Gursoy +4

Embedding a network in hyperbolic space can reveal interesting features for the network structure, especially in terms of self-similar characteristics. The hidden metric space, whi…

physics.soc-ph2019

Mercator: uncovering faithful hyperbolic embeddings of complex networks

Guillermo García-Pérez, Antoine Allard, M. Ángeles Serrano +1

We introduce Mercator, a reliable embedding method to map real complex networks into their hyperbolic latent geometry. The method assumes that the structure of networks is well des…

physics.soc-ph2019

The interconnected wealth of nations: Shock propagation on global trade-investment multiplex networks

Michele Starnini, Marián Boguñá, M. Ángeles Serrano

The increasing integration of world economies, which organize in complex multilayer networks of interactions, is one of the critical factors for the global propagation of economic…

physics.soc-ph2017★ 38 cited

Soft communities in similarity space

Guillermo García-Pérez, M. Ángeles Serrano, Marián Boguñá

The model has been a central geometric model in the development of the field of network geometry. It has been mainly studied in its homogeneous regime, in which angu…

physics.soc-ph2017★ 10 cited

Dynamical properties of the herding voter model with and without noise

Liudmila Rozanova, Marian Boguna

Collective leadership and herding may arise in standard models of opinion dynamics as an interplay of a strong separation of time scales within the population and its hierarchical…

physics.soc-ph2017★ 71 cited

Equivalence between non-Markovian and Markovian dynamics in epidemic spreading processes

Michele Starnini, James P. Gleeson, Marián Boguñá

A general formalism is introduced to allow the steady state of non-Markovian processes on networks to be reduced to equivalent Markovian processes on the same substrates. The examp…

physics.soc-ph2016★ 147 cited

Hidden geometric correlations in real multiplex networks

Kaj-Kolja Kleineberg, Marian Boguna, M. Angeles Serrano +1

Real networks often form interacting parts of larger and more complex systems. Examples can be found in different domains, ranging from the Internet to structural and functional br…

physics.soc-ph2015

The hidden hyperbolic geometry of international trade: World Trade Atlas 1870-2013

Guillermo García-Pérez, Marián Boguñá, Antoine Allard +1

Here, we present the World Trade Atlas 1870-2013, a collection of annual world trade maps in which distance combines economic size and the different dimensions that affect internat…

physics.soc-ph2015★ 191 cited

Quantifying randomness in real networks

Chiara Orsini, Marija Mitrović Dankulov, Almerima Jamakovic +9

Represented as graphs, real networks are intricate combinations of order and disorder. Fixing some of the structural properties of network models to their values observed in real n…

physics.soc-ph2015★ 20 cited

Competition between global and local online social networks

Kaj-Kolja Kleineberg, Marian Boguna

The overwhelming success of online social networks, the key actors in the Web 2.0 cosmos, has reshaped human interactions globally. To help understand the fundamental mechanisms wh…

physics.soc-ph2015

Escaping the avalanche collapse in self-similar multiplexes

M. Angeles Serrano, Lubos Buzna, Marian Boguna

We deduce and discuss the implications of self-similarity for the stability in terms of robustness to failure of multiplexes, depending on interlayer degree correlations. First, we…

physics.soc-ph2015★ 97 cited

Emergence of Soft Communities from Geometric Preferential Attachment

Konstantin Zuev, Marian Boguna, Ginestra Bianconi +1

All real networks are different, but many have some structural properties in common. There seems to be no consensus on what the most common properties are, but scale-free degree di…

physics.soc-ph2014★ 8 cited

Follow the Leader: Herding Behavior in Heterogeneous Populations

Guillem Mosquera-Donate, Marian Boguna

Here we study the emergence of spontaneous leadership in large populations. In standard models of opinion dynamics, herding behavior is only obeyed at the local scale due to the in…

physics.soc-ph2014★ 1 cited

Regulation of burstiness by network-driven activation

Guillermo García-Pérez, Marián Boguñá, M. Ángeles Serrano

We prove that complex networks of interactions have the capacity to regulate and buffer unpredictable fluctuations in production events. We show that non-bursty network-driven acti…

physics.soc-ph2014★ 16 cited

Digital Ecology: Coexistence and Domination among Interacting Networks

Kaj-Kolja Kleineberg, Marián Boguñá

The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of t…

physics.soc-ph2014

Reply to Lee et al. comment on "Nature of the Epidemic Threshold for the Susceptible-Infected-Susceptible Dynamics in Networks"

Marian Boguna, Claudio Castellano, Romualdo Pastor-Satorras

A reply to the comment by Lee et al. [arXiv:1309.5367]

physics.soc-ph2014★ 36 cited

Evolution of the digital society reveals balance between viral and mass media influence

Kaj-Kolja Kleineberg, Marian Boguna

Online social networks (OSNs) enable researchers to study the social universe at a previously unattainable scale. The worldwide impact and the necessity to sustain their rapid grow…

physics.soc-ph2014

Double percolation phase transition in clustered complex networks

Pol Colomer-de-Simon, Marian Boguna

The internal organization of complex networks often has striking consequences on either their response to external perturbations or on their dynamical properties. In addition to sm…

physics.soc-ph2013★ 69 cited

Deciphering the global organization of clustering in real complex networks

Pol Colomer-de-Simon, M. Angeles Serrano, Mariano G. Beiro +2

We uncover the global organization of clustering in real complex networks. As it happens with other fundamental properties of networks such as the degree distribution, we find that…