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Network reachability of real-world contact sequences
1Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Summary
Real-world contact data reveals how quickly information or disease spreads through networks. Network reachability depends on core connectivity, frequent communication, and contact order, not just clustering.
Area of Science:
- Network Science
- Epidemiology
- Computational Social Science
Background:
- Understanding information and disease transmission dynamics is crucial.
- Real-world contact sequences provide valuable data for studying spread.
Purpose of the Study:
- To analyze the speed of information or disease spread using real-world contact sequences.
- To measure network reachability time and reachability ratio.
Main Methods:
- Utilizing time-ordered contact sequences from real-world interactions.
- Employing conditional uniform graph tests to analyze network properties.
Main Results:
- Network reachability is significantly influenced by a densely connected core with short path lengths and frequent communication.
- Temporal clustering of contacts tends to reduce overall network reachability.
- The sequential order of contacts is a critical factor in dynamical spreading processes.
Conclusions:
- Contact network structure and temporal dynamics critically impact spread.
- Core connectivity and communication frequency are key drivers of network reachability.
- The order of interactions is essential for accurate modeling of spreading phenomena.