Robustness of Scale-free Networks - Science Collaboration
Suppose that the COVID-19 virus suffers a strange mutation, and now it is extremely mortal only to scientific researchers. Taking into consideration the Science Collaboration network, it will break apart into many isolated sub-graphs of researchers, after the death of how many scientists?
Additional data about the network:
- Nodes ($N$): 23,133
- $<k>$ (Average degree distribution of the network): 8.08
- $<k^{2}>$ (Variance of the degree distribution): 178.2
Hint: Round the number of dead scientists up.
A. 19,136
B. 22,035
C. 7,937
D. 15,498
E. None of the above.
Original idea by: Felipe Crispim da Rocha Salvagnini
COVID=19 infections are not completely random. In fact, one can argue that an infected scientist will pass the virus to collaborators with larger probability than to non-collaborators. Therefore, we models studied in class are not appropriate here.
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