Efficient limited-time reachability estimation in temporal networks

Arash Badie-Modiri*, Marton Karsai, Mikko Kivela

*Corresponding author for this work

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Abstract

Time-limited states characterize many dynamical processes on networks: disease-infected individuals recover after some time, people forget news spreading on social networks, or passengers may not wait forever for a connection. These dynamics can be described as limited-waiting-time processes, and they are particularly important for systems modeled as temporal networks. These processes have been studied via simulations, which is equivalent to repeatedly finding all limited-waiting-time temporal paths from a source node and time. We propose a method yielding an orders-of-magnitude more efficient way of tracking the reachability of such temporal paths. Our method gives simultaneous estimates of the in- or out-reachability (with any chosen waiting-time limit) from every possible starting point and time. It works on very large temporal networks with hundreds of millions of events on current commodity computing hardware. This opens up the possibility to analyze reachability and dynamics of spreading processes on large temporal networks in completely new ways. For example, one can now compute centralities based on global reachability for all events or can find with high probability the infected node and time, which would lead to the largest epidemic outbreak.

Original languageEnglish
Article number052303
Number of pages11
JournalPhysical Review E
Volume101
Issue number5
DOIs
Publication statusPublished - 7 May 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • SIZE

Equipment

Science-IT

Mikko Hakala (Manager)

School of Science

Facility/equipment: Facility

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