### Table 1 Structural Statistics and Correlations for Semantic Networks

2007

"... In PAGE 17: ... We used this procedure to construct a graph with the same density as the undirected word-association graph and subjected it to the same analyses. The results of these analyses are presented in Table1 . The degree of individual nodes in the LSA graph is weakly correlated with the degree of nodes in the association graph (H9267H11005.... ..."

Cited by 2

### Table 2. Summary statistics for semantic networks.

in The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth

2005

"... In PAGE 8: ....2. Results and analyses Our analysis of these semantic networks focuses on five properties: sparsity, connectedness, short path-lengths, high neighborhood clustering, and power-law degree distributions. The statistics related to these properties are shown in Table2 (under the Data columns), and the estimated degree distributions for each network are plotted in Figure 5. To provide a benchmark for small-world analyses, we also computed the average shortest-path lengths (Lrandom) ... In PAGE 10: ...01 and 3.19 (see Table2 ). The high-connectivity words at the tail of the power-law distribution can be thought of as the hubs of the semantic network.... In PAGE 13: ... Incorporating additional processes would surely make the model more realistic but would also entail adding in more free parameters, corresponding to the relative weights of those mechanisms. Given that the data we wish to account for consists of only the few summary statistics in Table2 and the degree distributions in Figure 5, it is essential to keep the number of free parameters to an absolute minimum. Our model for undirected networks (model A) has no free numerical parameters, while our model for directed networks (model B) has just one free parameter.... In PAGE 16: ...95, corresponding to the reasonable assumption that on average, 19 out of 20 new directed connections point from a new node towards an existing node. We evaluated the models by calculating the same statistical properties (see Table2 ) and degree distributions (see Figure 5) discussed above for the real semantic networks. Because the growing models are stochastic, results vary from simulation to simulation.... ..."

Cited by 45

### Table 6 Network bandwidth consumed for local monitoring and federation System Monitoring BW/node (Kbits/s) Federation BW (Kbits/s)

2004

"... In PAGE 16: ...In Table6 , we summarize the amount of network bandwidth consumed by Gan- glia for both Millennium and PlanetLab. We decompose the network bandwidth into local-area monitoring bandwidth and wide-area federation bandwidth.... ..."

### Table 2: Squared correlation coefficients for network reconstructions.

"... In PAGE 25: ... These probabilities were then interpreted as predictions of relative importance for each event in the distributed representation. The probability measures of relative importance at the whole-tune level were correlated with the musical improvisation data, as summarized in Table2 . The correlations were large for the known (p lt;.... In PAGE 25: ...10). Next, we compared the network measures of relative importance with the quantifications of theoretical predictions, as shown in Table2 . The correlations with time-span reduction predictions were significant for the known and variant melodies and for the measure-level reconstruction of the novel melody (p lt;.... ..."

### Table 2: Squared correlation coefficients for network reconstructions.

"... In PAGE 25: ... These probabilities were then interpreted as predictions of relative importance for each event in the distributed representation. The probability measures of relative importance at the whole-tune level were correlated with the musical improvisation data, as summarized in Table2 . The correlations were large for the known (p lt;.... In PAGE 25: ...10). Next, we compared the network measures of relative importance with the quantifications of theoretical predictions, as shown in Table2 . The correlations with time-span reduction predictions were significant for the known and variant melodies and for the measure-level reconstruction of the novel melody (p lt;.... ..."

### Table 8: Closed Jackson Network 3 event from to event rate

1996

"... In PAGE 20: ... Again, the di erence in variance reduction becomes signi cant only for large M. The last system is CJN3 which does not have a central server structure ( Table8 ). We perform a number of experiments with 10 and 30 customers in the system, and two di erent values of N .... ..."

Cited by 5

### Table 6: Closed Jackson Network 2 event from to event rate

1996

"... In PAGE 20: ...Table6 ), although it still has elements of a central server system (events from and to server 1 have large rates). For the CJN2 we compare CS3 with several variations of ELk ( rst k events from the list in Table 6 are used to de ne the partition).... In PAGE 20: ...of a central server system (events from and to server 1 have large rates). For the CJN2 we compare CS3 with several variations of ELk ( rst k events from the list in Table6 are used to de ne the partition). We see in Table 7 that the variance reduction of EL1 is similar to the pure central server system (CJN1) and the variance reduction of ELk increases with the increase in k.... ..."

Cited by 5

### Table 1. Six Major Event Prototypes Represent Interactions Among Biological Structures in the Semantic Network

### Table 1: Execution times and network traffic on the non-adaptive system and the adaptive system with no adapt events. Network traffic is identical on both systems.

"... In PAGE 5: ....3.1 Overhead for providing adaptivity In the absence of adapt events, there is no cost to support- ing adaptivity compared to the non-adaptive base system. Table1 shows the applications and the amount of shared memory used, and compares the execution times for the non- adaptive TreadMarks system and for our adaptive system without any adaptations. The results demonstrate that in the absence of adapt events the overhead of the adaptive system is virtually nil.... In PAGE 6: ... The above measurements are performed with a sufficiently long grace period to ensure that all leaves are normal leaves. For the applications in Table1 , the average time between Application Time MGS 2.30 Jacobi 1.... ..."