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In a typical realistic scenario, there exist some past data about the structure of the network which are analyzed with respect to some possibly future spreading process, such as behavior, opinion, disease, or computer malware. How sensitive are the predictions made about spread and spreaders to the changes in the structure of the network? The authors investigate the answer to this question by considering seven real world networks that have an explicit timeline and span a range of social interactions, from celebrity sightings to animal movement.
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