675 citations · 3.5k across the 68 of their papers we have counts for
71 papers
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms
Etienne Lasalle, Rémi Vaudaine, Titouan Vayer +4
Clustering the nodes of a graph is a cornerstone of graph analysis and has been extensively studied. However, some popular methods are not suitable for very large graphs: e.g., spe…
Human Mobility in the Metaverse
Kishore Vasan, Marton Karsai, Albert-Laszlo Barabasi
The metaverse promises a shift in the way humans interact with each other, and with their digital and physical environments. The lack of geographical boundaries and travel costs in…
Temporal network compression via network hashing
Rémi Vaudaine, Pierre Borgnat, Paulo Goncalves +2
Pairwise temporal interactions between entities can be represented as temporal networks, which code the propagation of processes such as epidemic spreading or information cascades,…
Social inequalities that matter for contact patterns, vaccination, and the spread of epidemics
Adriana Manna, Júlia Koltai, Márton Karsai
Individuals socio-demographic and economic characteristics crucially shape the spread of an epidemic by largely determining the exposure level to the virus and the severity of the…
Detecting periodic time scales in temporal networks
Elsa Andres, Alain Barrat, Márton Karsai
Temporal networks are commonly used to represent dynamical complex systems like social networks, simultaneous firing of neurons, human mobility or public transportation. Their dyna…
Are machine learning technologies ready to be used for humanitarian work and development?
Vedran Sekara, Márton Karsai, Esteban Moro +6
Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to mo…
When Dialects Collide: How Socioeconomic Mixing Affects Language Use
Thomas Louf, José J. Ramasco, David Sánchez +1
The socioeconomic background of people and how they use standard forms of language are not independent, as demonstrated in various sociolinguistic studies. However, the extent to w…
Generalized contact matrices for epidemic modeling
Adriana Manna, Lorenzo Dall'Amico, Michele Tizzoni +2
Contact matrices have become a key ingredient of modern epidemic models. They account for the stratification of contacts for the age of individuals and, in some cases, the context…
The temporal dynamics of group interactions in higher-order social networks
Iacopo Iacopini, Márton Karsai, Alain Barrat
Representing social systems as networks, starting from the interactions between individuals, sheds light on the mechanisms governing their dynamics. However, networks encode only p…
Interpreting wealth distribution via poverty map inference using multimodal data
Lisette Espín-Noboa, János Kertész, Márton Karsai
Poverty maps are essential tools for governments and NGOs to track socioeconomic changes and adequately allocate infrastructure and services in places in need. Sensor and online cr…
Real-time estimation of the effective reproduction number of COVID-19 from behavioral data
Eszter Bokányi, Zsolt Vizi, Júlia Koltai +2
Near-real time estimations of the effective reproduction number are among the most important tools to track the progression of a pandemic and to inform policy makers and the genera…
Socioeconomic biases in urban mixing patterns of US metropolitan areas
Rafiazka Millanida Hilman, Gerardo Iñiguez, Márton Karsai
Urban areas serve as melting pots of people with diverse socioeconomic backgrounds, who may not only be segregated but have characteristic mobility patterns in the city. While mobi…
Directed Percolation in Random Temporal Network Models with Heterogeneities
Arash Badie-Modiri, Abbas K. Rizi, Márton Karsai +1
The event graph representation of temporal networks suggests that the connectivity of temporal structures can be mapped to a directed percolation problem. However, similar to perco…
Directed Percolation in Temporal Networks
Arash Badie-Modiri, Abbas K. Rizi, Márton Karsai +1
Connectivity and reachability on temporal networks, which can describe the spreading of a disease, decimation of information or the accessibility of a public transport system over…
Switchover phenomenon induced by epidemic seeding on geometric networks
Gergely Ódor, Domonkos Czifra, Júlia Komjáthy +2
It is a fundamental question in disease modelling how the initial seeding of an epidemic, spreading over a network, determines its final outcome. Research in this topic has primari…
Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data
Serena Giurgola, Simone Piaggesi, Márton Karsai +3
Ending poverty in all its forms everywhere is the number one Sustainable Development Goal of the UN 2030 Agenda. To monitor the progress towards such an ambitious target, reliable,…
Universal role of commuting in the reduction of social assortativity in cities
Eszter Bokányi, Sándor Juhász, Márton Karsai +1
Millions commute to work every day in cities and interact with colleagues, customers, providers, friends, and strangers. Commuting facilitates the mixing of people from distant and…
Monitoring behavioural responses during pandemic via reconstructed contact matrices from online and representative surveys
Júlia Koltai, Orsolya Vásárhelyi, Gergely Röst +1
The unprecedented behavioural responses of societies have been evidently shaping the COVID-19 pandemic, yet it is a significant challenge to accurately monitor the continuously cha…
Dynamics of cascades on burstiness-controlled temporal networks
Samuel Unicomb, Gerardo Iñiguez, James P. Gleeson +1
Burstiness, the tendency of interaction events to be heterogeneously distributed in time, is critical to information diffusion in physical and social systems. However, an analytica…
Socioeconomic correlations of urban patterns inferred from aerial images: interpreting activation maps of Convolutional Neural Networks
Jacob Levy Abitbol, Márton Karsai
Urbanisation is a great challenge for modern societies, promising better access to economic opportunities while widening socioeconomic inequalities. Accurately tracking how this pr…
Bridging the gap between graphs and networks
Gerardo Iñiguez, Federico Battiston, Márton Karsai
Network science has become a powerful tool to describe the structure and dynamics of real-world complex physical, biological, social, and technological systems. Largely built on em…
Weighted temporal event graphs
Jari Saramäki, Mikko Kivelä, Márton Karsai
The times of temporal-network events and their correlations contain information on the function of the network and they influence dynamical processes taking place on it. To extract…
weg2vec: Event embedding for temporal networks
Maddalena Torricelli, Márton Karsai, Laetitia Gauvin
Network embedding techniques are powerful to capture structural regularities in networks and to identify similarities between their local fabrics. However, conventional network emb…
Efficient limited-time reachability estimation in temporal networks
Arash Badie-Modiri, Márton Karsai, Mikko Kivelä
Time-limited states characterise many dynamical processes on networks: disease infected individuals recover after some time, people forget news spreading on social networks, or pas…