@networkspapers

Semi-automatically curated list of new publications in Network Science. See website for details, comments or suggestions.

 Québec, Canada
antoineallard.info/networkspapers
Joined November 2017
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Chaos: Toward a new generation of market indicators driven by blockchain transaction networks pubs.aip.org/aip/cha/article…

Toward a new generation of market indicators driven by blockchain transaction networks

Cryptocurrencies and Decentralized Finance (DeFi) currently represent a fast growing trend in finance, which enables financial services on public blockchains. I

pubs.aip.org
461
iScience: Protecting Galápagos’ marine ecosystems: Biosecurity and network design against invasive species from tourist vessels sciencedirect.com/science/ar…
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Nat. Hum. Behav.: Young children build consensus in networks with local information nature.com/articles/s41562-0…

Young children build consensus in networks with local information

Nature Human Behaviour - Children aged 5–8 years can reach unanimous consensus in small networks using only local information. This ability increases sharply after kindergarten, with...

nature.com
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Nat. Comput. Sci.: The evolution of gene regulatory networks nature.com/articles/s43588-0…

The evolution of gene regulatory networks

Nature Computational Science - Gene regulatory networks provide a systems-level view of transcriptional control. Advances in biotechnology and computational modeling are reshaping gene regulatory...

nature.com
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Chaos: Structure of memory in time series: A one-dimensional atomic chain model pubs.aip.org/aip/cha/article…

Structure of memory in time series: A one-dimensional atomic chain model

In current time series analysis, the structure of memory is lost. A concept called memory structure network is proposed to preserve the memory details. From the

pubs.aip.org
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PNAS: A simple threshold captures the social learning of conventions pnas.org/doi/abs/10.1073/pna…

A simple threshold captures the social learning of conventions | PNAS

A persistent puzzle throughout the cognitive and social sciences is how people manage to learn social conventions from the sparse and noisy behavio...

pnas.org
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J. Stat. Mech.: Adaptive transitions in FitzHugh–Nagumo networks with Hebb–Oja coupling rules iopscience.iop.org/article/1…

Adaptive transitions in FitzHugh–Nagumo networks with Hebb–Oja coupling rules

Adaptive transitions in FitzHugh–Nagumo networks with Hebb–Oja coupling rules, Provata, A, Boulougouris, G C, Hizanidis, J

iopscience.iop.org
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Nat. Commun.: Broad spectrum structure discovery in large-scale higher-order networks nature.com/articles/s41467-0…

Broad spectrum structure discovery in large-scale higher-order networks

Nature Communications - Identifying higher-order structure that governs how units interact is crucial for modeling complex systems. Here, authors develop a class of scalable probabilistic models...

nature.com
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Soc. Networks: Mapping the relational ecology of multi-organizational coalitions and collaboratives: Considerations in the conceptualization and design of social network analysis studies sciencedirect.com/science/ar…
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PLOS ONE: Decision time is associated with future cooperation and social rewiring decisions in network public goods games journals.plos.org/plosone/ar…

Decision time is associated with future cooperation and social rewiring decisions in network public...

Previous research suggests that encouraging cooperation in social networks by engaging cooperators with defectors is only effective when individual heterogeneity is considered. However, this hetero...

journals.plos.org
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Sci. Rep.: Optimized cluster based routing protocol for IoT enabled healthcare data networks nature.com/articles/s41598-0…

Optimized cluster based routing protocol for IoT enabled healthcare data networks

Scientific Reports - Optimized cluster based routing protocol for IoT enabled healthcare data networks

nature.com
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SIAM J. Appl. Dyn. Syst.: Large Deviations of a Network of Neurons with Dynamic Sparse Random Connections epubs.siam.org/doi/abs/10.11…

Large Deviations of a Network of Neurons with Dynamic Sparse Random Connections | SIAM Journal on...

Abstract. In this work, we determine the limiting dynamics of a system of interacting particles indexed by a lattice . The connections are random, sparse, and unscaled, so that the system converges...

epubs.siam.org
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Phys. Rev. E: Algebraic topological characterizations of tie strength in higher-order social networks link.aps.org/doi/10.1103/g1t…

Algebraic topological characterizations of tie strength in higher-order social networks

The association between tie strength and network structure is a fundamental topic in the analysis of complex social systems. We study this association by analyzing tie strength using higher-order...

journals.aps.org
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SIAM J. Discrete Math.: Unavoidable Cycle-Contraction Minors of Large 2-Connected Graphs epubs.siam.org/doi/abs/10.11…

Unavoidable Cycle-Contraction Minors of Large 2-Connected Graphs | SIAM Journal on Discrete...

Abstract. It is well known that every sufficiently large connected graph has, as an induced subgraph, , , or an -vertex path. A 2023 paper of Allred, Ding, and Oporowski identified a set of unavoid...

epubs.siam.org
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Chaos: Cyclic periodic synchronization in a ring–star network of piecewise-linear discontinuous maps pubs.aip.org/aip/cha/article…

Cyclic periodic synchronization in a ring–star network of piecewise-linear discontinuous maps

In this paper, we explored the emergence of cyclic periodic synchronization patterns in networks of coupled piecewise-linear discontinuous (PLD) maps. The maps,

pubs.aip.org
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PLOS ONE: Traffic flow prediction via dynamic hypergraph learning journals.plos.org/plosone/ar…

Traffic flow prediction via dynamic hypergraph learning

In the field of intelligent transportation systems, efficiently and accurately predicting traffic flow and its evolution trends has become an important and urgent research task. Graph neural networks...

journals.plos.org
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EPJ Data Sci.: Forecasting faculty placement from patterns in coauthorship networks epjds.epj.org/10.1140/epjds/…
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Chaos: Bystander effect emerges from individual psychological prospects pubs.aip.org/aip/cha/article…
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Chaos: Stochastic resonance in higher-order networks driven by colored noise pubs.aip.org/aip/cha/article…
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Soc. Networks: From hidden populations to social structure: Evolution of the Network Scale-Up Method, Aggregated Relational Data, and their applications sciencedirect.com/science/ar…
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