230 citations · 1.2k across the 32 of their papers we have counts for
34 papers
From macro to micro: Economic complexity indicators for firm growth
Valerio De Stefano, Maddalena Mula, Manuel Sebastian Mariani +1
A rich theoretical and empirical literature investigated the link between export diversification and firm performance. Prior theoretical works hinted at the key role of capability…
Collective dynamics behind success
Manuel S. Mariani, Federico Battiston, Emőke-Ágnes Horvát +3
Understanding the collective dynamics behind the success of ideas, products, behaviors, and social actors is critical for decision-making across diverse contexts, including hiring,…
Uncovering key predictors of high-growth firms via explainable machine learning
Yiwei Huang, Shuqi Xu, Linyuan Lü +2
Predicting high-growth firms has attracted increasing interest from the technological forecasting and machine learning communities. Most existing studies primarily utilize financia…
Ranking species in complex ecosystems through nestedness maximization
Manuel Sebastian Mariani, Dario Mazzilli, Aurelio Patelli +1
Identifying the rank of species in a social or ecological network is a difficult task, since the rank of each species is invariably determined by complex interactions stipulated wi…
Equivalence between the Fitness-Complexity and the Sinkhorn-Knopp algorithms
Dario Mazzilli, Manuel Sebastian Mariani, Flaviano Morone +1
We uncover the connection between the Fitness-Complexity algorithm, developed in the economic complexity field, and the Sinkhorn-Knopp algorithm, widely used in diverse domains ran…
Locating the eigenshield of a network via perturbation theory
Ming-Yang Zhou, Manuel Sebastian Mariani, Hao Liao +2
The functions of complex networks are usually determined by a small set of vital nodes. Finding the best set of vital nodes (eigenshield nodes) is critical to the network's robustn…
Forecasting countries' gross domestic product from patent data
Yucheng Ye, Shuqi Xu, Manuel Sebastian Mariani +1
Recent strides in economic complexity have shown that the future economic development of nations can be predicted with a single "economic fitness" variable, which captures countrie…
The different structure of economic ecosystems at the scales of companies and countries
Dario Laudati, Manuel S. Mariani, Luciano Pietronero +1
A key element to understand complex systems is the relationship between the spatial scale of investigation and the structure of the interrelation among its elements. When it comes…
Beyond network centrality: Individual-level behavioral traits for predicting information superspreaders in social media
Fang Zhou, Linyuan Lü, Jianguo Liu +1
Understanding the heterogeneous role of individuals in large-scale information spreading is essential to manage online behavior as well as its potential offline consequences. To th…
Citations or dollars? Early signals of a firm's research success
Shuqi Xu, Manuel S. Mariani, Linyuan Lü +3
Scientific and technological progress is largely driven by firms in many domains, including artificial intelligence and vaccine development. However, we do not know yet whether the…
Detecting new edge types in a temporal network model
Wenjie Jia, Manuel S. Mariani, Linyuan Lü +1
Networks representing complex systems in nature and society usually involve multiple interaction types. These types suggest essential information on the interactions between compon…
The fragility of opinion formation in a complex world
Matúš Medo, Manuel S. Mariani, Linyuan Lü
With vast amounts of high-quality information at our fingertips, how is it possible that many people believe that the Earth is flat and vaccination harmful? Motivated by this quest…
Network-based ranking in social systems: three challenges
Manuel S. Mariani, Linyuan Lü
Ranking algorithms are pervasive in our increasingly digitized societies, with important real-world applications including recommender systems, search engines, and influencer marke…
Absence of a resolution limit in in-block nestedness
Manuel S. Mariani, María J. Palazzi, Albert Solé-Ribalta +2
Originally a speculative pattern in ecological networks, the hybrid or compound nested-modular pattern has been confirmed, during the last decade, as a relevant structural arrangem…
Recommending investors for new startups by integrating network diffusion and investors' domain preference
Shuqi Xu, Qianming Zhang, Linyuan Lv +1
Over the past decade, many startups have sprung up, which create a huge demand for financial support from venture investors. However, due to the information asymmetry between inves…
Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data
Shuqi Xu, Manuel Sebastian Mariani, Linyuan Lü +1
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a…
Simple regularities in the dynamics of online news impact
Matúš Medo, Manuel S. Mariani, Linyuan Lü
Online news can quickly reach and affect millions of people, yet we do not know yet whether there exist potential dynamical regularities that govern their impact on the public. We…
The wisdom of the few: Predicting collective success from individual behavior
Manuel S. Mariani, Yanina Gimenez, Jorge Brea +3
Can we predict top-performing products, services, or businesses by only monitoring the behavior of a small set of individuals? Although most previous studies focused on the predict…
Nestedness in complex networks: Observation, emergence, and implications
Manuel Sebastian Mariani, Zhuo-Ming Ren, Jordi Bascompte +1
The observed architecture of ecological and socio-economic networks differs significantly from that of random networks. From a network science standpoint, non-random structural pat…
Temporal similarity metrics for latent network reconstruction: The role of time-lag decay
Hao Liao, Ming-Kai Liu, Manuel Sebastian Mariani +2
When investigating the spreading of a piece of information or the diffusion of an innovation, we often lack information on the underlying propagation network. Reconstructing the hi…
Fast influencers in complex networks
Fang Zhou, Linyuan Lü, Manuel Sebastian Mariani
Influential nodes in complex networks are typically defined as those nodes that maximize the asymptotic reach of a spreading process of interest. However, for practical application…
Optimal timescale for community detection in growing networks
Matus Medo, An Zeng, Yi-Cheng Zhang +1
Time-stamped data are increasingly available for many social, economic, and information systems that can be represented as networks growing with time. The World Wide Web, social co…
The long-term impact of ranking algorithms in growing networks
Shilun Zhang, Matúš Medo, Linyuan Lü +1
When we search online for content, we are constantly exposed to rankings. For example, web search results are presented as a ranking, and online bookstores often show us lists of b…
Influencers identification in complex networks through reaction-diffusion dynamics
Flavio Iannelli, Manuel Sebastian Mariani, Igor M. Sokolov
A pivotal idea in network science, marketing research and innovation diffusion theories is that a small group of nodes -- called influencers -- have the largest impact on social co…