3 papers
cs.DB2021
Provenance in Temporal Interaction Networks
Chrysanthi Kosyfaki Nikos Mamoulis
In temporal interaction networks, vertices correspond to entities, which exchange data quantities (e.g., money, bytes, messages) over time. Tracking the origin of data that have re…
cs.DB2020
Flow Computation in Temporal Interaction Networks
Chrysanthi Kosyfaki, Nikos Mamoulis, Evaggelia Pitoura +1
Temporal interaction networks capture the history of activities between entities along a timeline. At each interaction, some quantity of data (money, information, kbytes, etc.) flo…
cs.SI2018
Flow Motifs in Interaction Networks
Chrysanthi Kosyfaki, Nikos Mamoulis, Evaggelia Pitoura +1
Many real-world phenomena are best represented as interaction networks with dynamic structures (e.g., transaction networks, social networks, traffic networks). Interaction networks…