Manuel Sebastian Mariani

Orcid: 0000-0003-1032-5821

According to our database1, Manuel Sebastian Mariani authored at least 33 papers between 2015 and 2024.

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Bibliography

2024
Uncovering milestone papers: A network diffusion and game theory approach.
J. Informetrics, 2024

Uncovering key predictors of high-growth firms via explainable machine learning.
CoRR, 2024

Integrating behavioral experimental findings into dynamical models to inform social change interventions.
CoRR, 2024

2022
The simple regularities in the dynamics of online news impact.
J. Comput. Soc. Sci., May, 2022

Toward Detecting Previously Undiscovered Interaction Types in Networked Systems.
IEEE Internet Things J., 2022

Forecasting countries' gross domestic product from patent data.
CoRR, 2022

Algorithmic bias amplification via temporal effects: The case of PageRank in evolving networks.
Commun. Nonlinear Sci. Numer. Simul., 2022

2021
The local structure of citation networks uncovers expert-selected milestone papers.
J. Informetrics, 2021

Predicting peer-to-peer and collective social contagion from individual behaviour.
CoRR, 2021

Citations or dollars? Early signals of a firm's research success.
CoRR, 2021

Absence of a resolution limit in in-block nestedness.
Commun. Nonlinear Sci. Numer. Simul., 2021

2020
Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data.
J. Informetrics, 2020

Recommending investors for new startups by integrating network diffusion and investors' domain preference.
Inf. Sci., 2020

The fragility of opinion formation in a complex world.
CoRR, 2020

Network-based ranking in social systems: three challenges.
CoRR, 2020

Universal patterns of online news impact.
CoRR, 2020

The wisdom of the few: Predicting collective success from individual behavior.
CoRR, 2020

2019
The long-term impact of ranking algorithms in growing networks.
Inf. Sci., 2019

Temporal similarity metrics for latent network reconstruction: The role of time-lag decay.
Inf. Sci., 2019

Fast influencers in complex networks.
Commun. Nonlinear Sci. Numer. Simul., 2019

2018
Link Prediction in Bipartite Nested Networks.
Entropy, 2018

Nestedness Maximization in Complex Networks through the Fitness-Complexity Algorithm.
Entropy, 2018

Optimal timescale of community detection in growing networks.
CoRR, 2018

Network centrality based on reaction-diffusion dynamics reveals influential spreaders.
CoRR, 2018

Revealing In-Block Nestedness: detection and benchmarking.
CoRR, 2018

2017
Quantifying and suppressing ranking bias in a large citation network.
J. Informetrics, 2017

Early identification of important patents through network centrality.
CoRR, 2017

A time-respecting null model to explore the structure of growing networks.
CoRR, 2017

Ranking in evolving complex networks.
CoRR, 2017

2016
Identification of milestone papers through time-balanced network centrality.
J. Informetrics, 2016

The mathematics of non-linear metrics for nested networks.
CoRR, 2016

2015
Identification and modeling of discoverers in online social systems.
CoRR, 2015

Ranking nodes in growing networks: When PageRank fails.
CoRR, 2015


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