116 citations · 483 across the 23 of their papers we have counts for
13 papers · 1 filter
Multi-agent discussion gains less when dissent is withheld
Chand Sahil Mansuri, Xin Wang, Mengying Li +4
Multi-agent systems of LLMs add discussion to majority voting and are therefore expected to be more capable. However, empirical reports conflict on whether discussion improves accu…
Detectability threshold in weighted modular networks
Filippo Radicchi, Filipi N. Silva, Alessandro Flammini +2
We study the necessary condition to detect, by means of spectral modularity optimization, the ground-truth partition in networks generated according to the weighted planted-partiti…
Scale invariance and statistical significance in complex weighted networks
Filipi N. Silva, Sadamori Kojaku, Alessandro Flammini +2
Most networks encountered in nature, society, and technology have weighted edges, representing the strength of the interaction/association between their vertices. Randomizing the s…
Community-centric modeling of citation dynamics explains collective citation patterns in science, law, and patents
Sadamori Kojaku, Robert Mahari, Sandro Claudio Lera +3
Many human knowledge systems, such as science, law, and invention, are built on documents and the citations that link them. Citations, while serving multiple purposes, primarily fu…
Iterative embedding and reweighting of complex networks reveals community structure
Bianka Kovács, Sadamori Kojaku, Gergely Palla +1
Graph embeddings learn the structure of networks and represent it in low-dimensional vector spaces. Community structure is one of the features that are recognized and reproduced by…
Network community detection via neural embeddings
Sadamori Kojaku, Filippo Radicchi, Yong-Yeol Ahn +1
Recent advances in machine learning research have produced powerful neural graph embedding methods, which learn useful, low-dimensional vector representations of network data. Thes…
Detecting anomalous citation groups in journal networks
Sadamori Kojaku, Giacomo Livan, Naoki Masuda
The ever-increasing competitiveness in the academic publishing market incentivizes journal editors to pursue higher impact factors. This translates into journals becoming more sele…
Constructing networks by filtering correlation matrices: A null model approach
Sadamori Kojaku, Naoki Masuda
Network analysis has been applied to various correlation matrix data. Thresholding on the value of the pairwise correlation is probably the most straightforward and common method t…
Multiscale core-periphery structure in a global liner shipping network
Sadamori Kojaku, Mengqiao Xu, Haoxiang Xia +1
Maritime transport accounts for a majority of trades in volume, of which 70% in value is carried by container ships that transit regular routes on fixed schedules in the ocean. In…
Configuration model for correlation matrices preserving the node strength
Naoki Masuda, Sadamori Kojaku, Yukie Sano
Correlation matrices are a major type of multivariate data. To examine properties of a given correlation matrix, a common practice is to compare the same quantity between the origi…
A generalised significance test for individual communities in networks
Sadamori Kojaku, Naoki Masuda
Many empirical networks have community structure, in which nodes are densely interconnected within each community (i.e., a group of nodes) and sparsely across different communities…
Core-periphery structure requires something else in the network
Sadamori Kojaku, Naoki Masuda
A network with core-periphery structure consists of core nodes that are densely interconnected. In contrast to community structure, which is a different meso-scale structure of net…
Finding multiple core-periphery pairs in networks
Sadamori Kojaku, Naoki Masuda
With a core-periphery structure of networks, core nodes are densely interconnected, peripheral nodes are connected to core nodes to different extents, and peripheral nodes are spar…