• Test
• Bibliographic networks
• temporalcores.pdf

Gradiva

1. notion of an ordinary core
2. basic algorithm
3. temporal networks
4. temporal quantities
5. simple algorithm for cores in temporal networks
6. simple example (connectivity)
7. real-life example (terror, stem cell, violence)
   problem with the size of results → cutting
8. conclusions:
   1. improve the complexity of the algorithm
   2. extend the algorithm to generalized temporal cores
   3. find user friendly presentations of results
   4. compare with the streaming core algorithms