230 citations · 1.2k across the 32 of their papers we have counts for
21 papers · 1 filter
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…
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…
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…
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…
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…
Revealing In-Block Nestedness: detection and benchmarking
Albert Solé-Ribalta, Claudio J. Tessone, Manuel S. Mariani +1
As new instances of nested organization --beyond ecological networks-- are discovered, scholars are debating around the co-existence of two apparently incompatible macroscale archi…
Ranking in evolving complex networks
Hao Liao, Manuel Sebastian Mariani, Matus Medo +2
Complex networks have emerged as a simple yet powerful framework to represent and analyze a wide range of complex systems. The problem of ranking the nodes and the edges in complex…
Quantifying and suppressing ranking bias in a large citation network
Giacomo Vaccario, Matus Medo, Nicolas Wider +1
It is widely recognized that citation counts for papers from different fields cannot be directly compared because different scientific fields adopt different citation practices. Ci…
Randomizing growing networks with a time-respecting null model
Zhuo-Ming Ren, Manuel Sebastian Mariani, Yi-Cheng Zhang +1
Complex networks are often used to represent systems that are not static but grow with time: people make new friendships, new papers are published and refer to the existing ones, a…
Identification of milestone papers through time-balanced network centrality
Manuel Sebastian Mariani, Matus Medo, Yi-Cheng Zhang
Citations between scientific papers and related bibliometric indices, such as the -index for authors and the impact factor for journals, are being increasingly used - often in c…
Identification and modeling of discoverers in online social systems
Matus Medo, Manuel S. Mariani, An Zeng +1
The dynamics of individuals is of essential importance for understanding the evolution of social systems. Most existing models assume that individuals in diverse systems, ranging f…
Ranking nodes in growing networks: When PageRank fails
Manuel Sebastian Mariani, Matus Medo, Yi-Cheng Zhang
PageRank is arguably the most popular ranking algorithm which is being applied in real systems ranging from information to biological and infrastructure networks. Despite its outst…