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Found 9 papers, 2 papers with code
Link Streams as a Generalization of Graphs and Time Series
In this work, we contribute to the development of this formalism by showing that link streams also generalize time series.
A Frequency-Structure Approach for Link Stream Analysis
By plugging-in these developments and their time-domain counterpart into our framework, we are able to (i) obtain a new basis for link streams that allow us to represent them in a frequency-structure domain; and (ii) show that many interesting transformations to link streams, like the aggregation of interactions or their embedding into a euclidean space, can be seen as simple filters in our frequency-structure domain.
Full Bitcoin Blockchain Data Made Easy
Despite the fact that it is publicly available, collecting and processing the full bitcoin blockchain data is not trivial.
Computing Betweenness Centrality in Link Streams
Betweeness centrality is one of the most important concepts in graph analysis.
A general graph-based framework for top-N recommendation using content, temporal and trust information
Recommending appropriate items to users is crucial in many e-commerce platforms that contain implicit data as users' browsing, purchasing and streaming history.
Link Stream Graph for Temporal Recommendations
Experiments conducted on four real world implicit datasets for temporal recommendation, with 3 evaluation metrics, show that LSG is the best in 9 out of 12 cases compared to BIP and STG which are the most used state-of-the-art recommender graphs.
Stream Graphs and Link Streams for the Modeling of Interactions over Time
It is also consistent with graph theory: graph concepts are special cases of the ones we introduce.
Post-Processing Hierarchical Community Structures: Quality Improvements and Multi-scale View
Dense sub-graphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts.
Community Detection
Data Structures and Algorithms
Disordered Systems and Neural Networks
Physics and Society
Computing communities in large networks using random walks (long version)
Dense subgraphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts.
Physics and Society Disordered Systems and Neural Networks Statistical Mechanics
