Modeling and predicting community structure changes in time-evolving social networks
EG Tajeuna, M Bouguessa… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
As time evolves, communities in a social network may undergo various changes known as
critical events. For instance, a community can either split into several other communities …
critical events. For instance, a community can either split into several other communities …
Change detection in dynamic attributed networks
IU Hewapathirana - Wiley Interdisciplinary Reviews: Data …, 2019 - Wiley Online Library
A network provides powerful means of representing complex relationships between entities
by abstracting entities as vertices, and relationships as edges connecting vertices in a …
by abstracting entities as vertices, and relationships as edges connecting vertices in a …
On using temporal networks to analyze user preferences dynamics
User preferences are fairly dynamic, since users tend to exploit a wide range of information
and modify their tastes accordingly over time. Existing models and formulations are too …
and modify their tastes accordingly over time. Existing models and formulations are too …
Incremental community discovery via latent network representation and probabilistic inference
Most of the community detection algorithms assume that the complete network structure
G=(V, E) G=(V, E) is available in advance for analysis. However, in reality this may not be …
G=(V, E) G=(V, E) is available in advance for analysis. However, in reality this may not be …
System-level Models for Network Monitoring and Change Detection
MK Roodsari - 2021 - search.proquest.com
Monitoring a system for deviations from standard or reference behavior is essential for many
data-driven tasks. Whether it is monitoring sensor data or the interactions between system …
data-driven tasks. Whether it is monitoring sensor data or the interactions between system …