Temporal networks with node-specific memory: Unbiased inference of transition probabilities, relaxation times, and structural breaks
One of the main challenges in the study of time-varying networks is the interplay of memory effects with structural heterogeneity. In particular, different nodes and dyads can have very different statistical properties in terms of both link formation and link persistence, leading to a superposition...
Saved in:
| Main Authors: | Giulio Virginio Clemente, Claudio J. Tessone, Diego Garlaschelli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2024-12-01
|
| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.6.043257 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Linking through time: Memory-enhanced community discovery in temporal networks
by: Giulio Virginio Clemente, et al.
Published: (2024-11-01) -
Resolving the Relaxation of Volatile Valence Change Memory
by: Johannes Hellwig, et al.
Published: (2024-12-01) -
Calculated Feelings: How Children Use Probability to Infer Emotions
by: Tiffany Doan, et al.
Published: (2023-10-01) -
Power unit exponential probability distribution: Statistical inference and applications
by: Najwan Alsadat, et al.
Published: (2024-11-01) -
Towards an unbiased jet energy loss measurement
by: Liliana Apolinário, et al.
Published: (2025-01-01)