The atlas for the aspiring network scientist
M Coscia - arXiv preprint arXiv:2101.00863, 2021 - arxiv.org
Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …
via their representations as networks. We normally model such networks as graphs: sets of …
[图书][B] Multilayer network science: from cells to societies
Networks are convenient mathematical models to represent the structure of complex
systems, from cells to societies. In the last decade, multilayer network science–the branch of …
systems, from cells to societies. In the last decade, multilayer network science–the branch of …
A framework for the construction of generative models for mesoscale structure in multilayer networks
Multilayer networks allow one to represent diverse and coupled connectivity patterns—such
as time-dependence, multiple subsystems, or both—that arise in many applications and …
as time-dependence, multiple subsystems, or both—that arise in many applications and …
[HTML][HTML] Multilayer biological network alignment based on similarity computation via Graph Neural Networks
P Cinaglia - Journal of Computational Science, 2024 - Elsevier
Multilayer networks prove highly effective in scenarios where objects of different entities
require a heterogeneity of types of interaction. Briefly, a multilayer network consists of nodes …
require a heterogeneity of types of interaction. Briefly, a multilayer network consists of nodes …
[HTML][HTML] Sequential stacking link prediction algorithms for temporal networks
Link prediction algorithms are indispensable tools in many scientific applications by
speeding up network data collection and imputing missing connections. However, in many …
speeding up network data collection and imputing missing connections. However, in many …
A framework for the construction of generative models for mesoscale structure in multilayer networks
Multilayer networks allow one to represent diverse and coupled connectivity patterns---eg,
time-dependence, multiple subsystems, or both---that arise in many applications and which …
time-dependence, multiple subsystems, or both---that arise in many applications and which …
Vegetation response during the lead-up to the middle Miocene warming event in the Northern Rocky Mountains, USA
The mid-Miocene climatic optimum (MMCO; initial warming beginning ca. 18 Ma and with
peak warming ca. 17–14.75 Ma) constitutes the Earth's most recent greenhouse episode …
peak warming ca. 17–14.75 Ma) constitutes the Earth's most recent greenhouse episode …
Overlapping communities and the prediction of missing links in multiplex networks
AM Abdolhosseini-Qomi, N Yazdani… - Physica A: Statistical …, 2020 - Elsevier
Multiplex networks are a representation of real-world complex systems as a set of entities (ie
nodes) connected via different types of connections (ie layers). The observed connections in …
nodes) connected via different types of connections (ie layers). The observed connections in …
Networks with correlated edge processes
This article proposes methods to model non-stationary temporal graph processes motivated
by a hospital interaction data set. This corresponds to modelling the observation of edge …
by a hospital interaction data set. This corresponds to modelling the observation of edge …
Fast Multiplex Graph Association Rules for Link Prediction
Multiplex networks allow us to study a variety of complex systems where nodes connect to
each other in multiple ways, for example friend, family, and co-worker relations in social …
each other in multiple ways, for example friend, family, and co-worker relations in social …