We highlighted some properties of retail data, namely uneven distributions of connections in the customer-product bipartite structure and the triangular structure of its adjacency matrix.
(G, H ) Cumulative distribution of connected and unconnected interneurons (left) and distribution of connection probabilities in respect to intersomatic distances (right) between interneurons and either NG2 cells (n = 13) or pyramidal neurons (n = 11) displaying at least one connection.
It is commonly accepted that realistic networks can display not only a complex topological structure, but also a heterogeneous distribution of connection weights.
A continual variable stiffness elastic constraint is presented to introduce the actual uneven distribution of connection stiffness into the analytical vibration analysis.
The distribution of connection degrees of genes follows a power law – 637 genes (32%) have less-than 10 connections, while only 24 genes (4.3%) have more-than-150 ones.
The layer-specific population distribution of connection strength was largely consistent with the known wiring in cortical microcircuits ([8], see Discussion).
Figure 7B,C shows the distribution of connection lengths for a provincial hub (area V4) and a connector hub (area 46), suggesting that these hub types map onto the distinction proposed for functional connectivity [22].
The second concerns the distribution of connection weights between cortical areas and their variability across animals.
To develop a sample of networks with given properties, we specify the network size N, the probability of (nonzero) connection between nodes c, the fraction of activating connections a, and the distribution of connection strengths.
The choice of whether a connection between neurons in adjacent layers exists or not is based upon a Gaussian distribution of connection probabilities which roll-off radially from the focal point of connections for each neuron.
