Evolution of social networks happens simultaneously with the evolution of their links/nodes. However, it is not easy for some links/nodes to evolve in such a process because of their age. In any network, especially real networks could exist that they are not happy with some variations. Understanding stability, aged phase transition, information transformation of social networks are some of my challenges.
Refs:
- Glassy states of aging social networks, F Hassanibesheli, L Hedayatifar, H Safdari, M Ausloos, GR Jafari, Entropy 19 (6), 246 (2017)
- Fractional dynamics of network growth constrained by aging node interactions, H Safdari, MZ Kamali, A Shirazi, M Khalighi, G Jafari, M Ausloos, PloS one 11 (5), e0154983 (2016)
- Memory effects on epidemic evolution: The susceptible-infected-recovered epidemic model, M Saeedian, M Khalighi, N Azimi-Tafreshi, GR Jafari, M Ausloos, Physical Review E 95 (2), 022409 (2017)
- Effect of memory in non-Markovian Boolean networks illustrated with a case study: A cell cycling process, H Ebadi, M Saeedian, M Ausloos, GR Jafari, EPL (Europhysics Letters) 116 (3), 30004 (2016)
- Fractional dynamics of network growth constrained by aging node interactions, H Safdari, MZ Kamali, A Shirazi, M Khalighi, G Jafari, M Ausloos, PloS one 11 (5), e0154983 (2016)