The phrase "a more complex connectivity" is correct and usable in written English.
It can be used when discussing intricate relationships or networks, particularly in fields like technology, biology, or social sciences.
Example: "The new research highlights a more complex connectivity between neural pathways than previously understood."
Alternatives: "a more intricate connection" or "a more elaborate network".
For instance, this prediction should intuitively be very precise for sparse networks formed by many isolated node doublets, while for denser and more complex connectivity matrices it should provide rather an approximate heuristic estimate (and we should instead analyze the full Jacobian matrix of the system); this dependence may be of interest for the investigation of real data.
Future research applying more complex connectivity models on reading data may reveal that different individuals rely on different pathways within a vast and complex neural network during reading.
Diversity is diminished by increased connectivity, but has a more complex relationship with network structure, for example, a highly connected network may exhibit low overall diversity but maintain high diversity in a small number of low degree nodes in the periphery of the network.
However, the different nature (intra- vs. inter-hemispheric) and direction (decreased vs. increased) between FtM and MtF connectivity gives a more complex picture.
However studies with functional connectivity have started to identify a more complex set of regions that in addition to prefrontal and cingulate gyrus, include other regions of the frontal cortex, the parietal cortex and the thalamus.
With increasing connectivity, the number of measurements rises and the TAs consequently increase, resulting in a more complex optimization problem in the sense of greater numbers of constraints and variables.
This 'connectivity' increased with NAPL saturation, but was shown to have a more complex relation to the water saturation and pore size distribution of the soil.
