-
Data for a scaling parameter <i>α</i> of the recurrent time of power law with...
Scaling parameter α and Akaike information criterion (AIC) weights of power law for t−α. t means the recurrence time for the mean degree of an EL net- work. Data for a scaling... -
r37980778c78--d30038c70ceb232dbcc4c66ad574d516
Parameter estimates (mean, standard error) of the driving input and intrinsic connectivity were calculated for each subgroup, blind and sighted, separately. Italic numbers... -
r37980778c78--9a5e95a136464d5332d3adb856e295cc
In real networks, the resources that make up the nodes and edges are finite. This constraint poses a serious problem for network modeling, namely, the compatibility between... -
r37980778c78--c613d86e79e9013310b5876dcb78f626
Datasets statistics of subways, the US airline and city-based online social networks: number of nodes n and edges m of the graphs, maximum degree kmax and average node degree... -
Statistical data for an in-degree and an out-degree distribution.
The above table means t-test for relation between an in-degree distribution e − λ in x and an out- degree distribution e−λoutx. The bellow one means Mann-Whitney U... -
r37980778c78--a67d0d935ff03a1a5b9ea1aa312583cc
Scaling parameter α and Akaike information criterion (AIC) weights of power law for w−α. w mean an edge’s weight. Data for a scaling parameter α of weight of power law with AIC... -
Network Modeling for Functional Magnetic Resonance Imaging (fMRI) Signals dur...
In many functional magnetic resonance imaging (fMRI) studies blind humans were found to show cross-modal reorganization engaging the visual system in non-visual tasks. For... -
Posterior model probabilities for subjects and models resulting from the fami...
Bold numbers indicate the most likely model (in Occam’s window) for each subject.