In this section
@article{Yao:2021:10.1038/s41598-021-94389-w,
author = {Yao, Q and Evans, T and Chen, B and Christensen, KIM},
doi = {10.1038/s41598-021-94389-w},
journal = {Scientific Reports},
pages = {1--17},
title = {Higher-order temporal network effects through triplet evolution},
url = {http://dx.doi.org/10.1038/s41598-021-94389-w},
volume = {11},
year = {2021}
}
TY - JOUR
AB - We study the evolution of networks through ‘triplets’ — three-node graphlets. We develop a method to compute a transitionmatrix to describe the evolution of triplets in temporal networks. To identify the importance of higher-order interactions inthe evolution of networks, we compare both artificial and real-world data to a model based on pairwise interactions only.The significant differences between the computed matrix and the calculated matrix from the fitted parameters demonstratethat non-pairwise interactions exist for various real-world systems in space and time, such as our data sets. Furthermore,this also reveals that different patterns of higher-order interaction are involved in different real-world situations.To test our approach, we then use these transition matrices as the basis of a link prediction algorithm. We investigate ouralgorithm’s performance on four temporal networks, comparing our approach against ten other link prediction methods.Our results show that higher-order interactions in both space and time play a crucial role in the evolution of networks as wefind our method, along with two other methods based on non-local interactions, give the best overall performance. Theresults also confirm the concept that the higher-order interaction patterns, i.e., triplet dynamics, can help us understandand predict the evolution of different real-world systems.
AU - Yao,Q
AU - Evans,T
AU - Chen,B
AU - Christensen,KIM
DO - 10.1038/s41598-021-94389-w
EP - 17
PY - 2021///
SN - 2045-2322
SP - 1
TI - Higher-order temporal network effects through triplet evolution
T2 - Scientific Reports
UR - http://dx.doi.org/10.1038/s41598-021-94389-w
UR - https://www.nature.com/articles/s41598-021-94389-w
UR - http://hdl.handle.net/10044/1/90849
VL - 11
ER -