On why real networks are not well modeled by random networks, check the statements below:
- Random networks overestimate the size and frequency of high-degree nodes.
- Real networks remain connected when \( \langle k \rangle \lt \ln N \), which is highly unlikely in the random network model.
- The average path length of random networks is not a good approximation for the path lengths observed in real networks.
- The clustering coefficients of nodes in real networks deviate significantly from those of random networks, for similar \( N \) and \( L \).
Which option lists exactly the correct statements:
- I and II
- II, III and IV
- II and IV
- II and III
- None of the above
Original idea by: Filipe Maciel
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