Common problems with temporal graphs
The concept of temporal graphs is useful in all the real-world problems that can be represented as a graph, where the nodes and edges of the graph may change over time. For example, temporal graphs are extensively applied in modeling social networks. By capturing the evolving relationships between individuals, temporal graphs enable a more accurate representation of social dynamics. This is particularly useful for predicting changes in friendships, community structures, and the information diffusion over time.
Also, in transportation systems, such as road or airline networks, the dynamics of connection are time-dependent. Temporal graphs may help model the changing patterns of traffic, optimal routing, and impact of events such as rush hours or seasonal variations on the network’s structure.
Temporal graphs are also useful for representing and analyzing communication networks, where the time of interactions is crucial. By considering...
