Dissimilar networks are sometimes referred to as heterogeneous networks.
The Internet working strategy for interconnecting identical networks is different from interconnecting similar or dissimilar networks.
More specifically, identical networks can be interconnected at the physical layer (layer 1), similar networks can be interconnected at the data link layer (layer 2), and dissimilar networks can be interconnected at the network layer (layer 3).
Identical networks employ exactly the same architecture and cabling; similar networks have different architecture or different cabling; and dissimilar networks employ different hardware, software, protocols, and often support different functions or applications.
This paper proposes modeling a Resource allocation RA or Bandwidth Allocation problem as a game, and then formulating it to increase the total utility to a maximum of the dissimilar networks.
Using a spatially realistic individual-based model we show that the model-predicted evolution of host plant preference due to biased migration explains a significant amount of the observed variation in host plant use among metapopulations living in dissimilar networks.
This is achieved with a good mechanism to handle handoff between two dissimilar networks, called vertical handoff.
In such networks, the rates of change of additive genetic variance and phenotypic variance are most dissimilar: networks allow phenotypic variance to change quickly while (hidden) additive variance changes slowly, thus resulting in higher heritability.
For this reason, it is no surprise that they perform poorly in grouping topologically similar networks together and separating dissimilar networks (Yaveroğlu et al., 2014).
It is expected that the group of distinct subgraphs from a given cancer type will have more overlapping edges in its corresponding IPA cancer network but less overlap in the dissimilar networks.
