509 citations · 2.7k across the 76 of their papers we have counts for
12 papers · 1 filter
Recovering link-weight structure in complex networks with weight-aware random walks
Adilson Vital, Filipi N. Silva, Diego R. Amancio
Using edge weights is essential for modeling real-world systems where links possess relevant information, and preserving this information in low-dimensional representations is rele…
Comparing biased random walks in graph embedding and link prediction
Adilson Vital, Filipi N. Silva, Diego R. Amancio
Random walks find extensive application across various complex network domains, including embedding generation and link prediction. Despite the widespread utilization of random wal…
Identifying the perceived local properties of networks reconstructed from biased random walks
Lucas Guerreiro, Filipi N. Silva, Diego R. Amancio
Many real-world systems give rise to a time series of symbols. The elements in a sequence can be generated by agents walking over a networked space so that whenever a node is visit…
Recovering network topology and dynamics via sequence characterization
Lucas Guerreiro, Filipi N. Silva, Diego R. Amancio
Sequences arise in many real-world scenarios; thus, identifying the mechanisms behind symbol generation is essential to understanding many complex systems. This paper analyzes sequ…
A comparative analysis of knowledge acquisition performance in complex networks
Lucas Guerreiro, Filipi N. Silva, Diego R. Amancio
Discovery processes have been an important topic in the network science field. The exploration of nodes can be understood as the knowledge acquisition process taking place in the n…
Modeling Supply-Chain Networks with Firm-to-Firm Wire Transfers
Thiago C. Silva, Diego R. Amancio, Benjamin M. Tabak
We study a novel economic network (supply chain) comprised of wire transfers (electronic payment transactions) among the universe of firms in Brazil (6.2 million firms). We constru…