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Multiplex_CS_Aarhus
- Citation Author(s):
- Submitted by:
- Yuke Zheng
- Last updated:
- Thu, 11/21/2024 - 04:44
- DOI:
- 10.21227/5e0h-hj92
- License:
8 Views- Categories:
- Keywords:
Abstract
The dataset is a multiplex social network dataset collected from the Department of Computer Science at Aarhus University, Denmark. The total number of nodes in this multilayer network is 61, and the total number of edges in each layer of the network is 620, which is an unweighted and undirected multiplex social network. It captures their relationships across five different types of interactions: Facebook connections, leisure activities, work collaborations, co-authorships, and lunch meetings. Each layer in the network corresponds to a specific type of relationship. This dataset provides a rich framework for studying multiplex network dynamics. It has been widely used in research to analyze multi-layer social networks, link prediction, community detection, and network alignment.
The dataset is a multiplex social network dataset collected from the Department of Computer Science at Aarhus University, Denmark. The total number of nodes in this multilayer network is 61, and the total number of edges in each layer of the network is 620, which is an unweighted and undirected multiplex social network. It captures their relationships across five different types of interactions: Facebook connections, leisure activities, work collaborations, co-authorships, and lunch meetings. Each layer in the network corresponds to a specific type of relationship. This dataset provides a rich framework for studying multiplex network dynamics. It has been widely used in research to analyze multi-layer social networks, link prediction, community detection, and network alignment.
