### Table 3: Mean Usage Characteristics and Diffusion Properties of Information Types Information Type News Discussion t-statistic Usage Characteristics amp; Diffusion Properties Number of Words 3235 4168 -

2007

"... In PAGE 27: ... We then tested whether words in each category differed significantly across these dimensions by conducting t-tests of the differences of means across information types and dimensions. Table3 lists the mean usage characteristics and diffusion properties of both event news and discussion topics. Our t-tests demonstrate that these information types differ significantly across all dimensions of interest related to their use and diffusion.... In PAGE 33: ....1. Estimation of the Diffusion of Information We first tested the diffusion of all types of information through the firm. Table3 presents the results of logistic regression and hazard rate model estimates of the likelihood of receiving information and the rate at which different types of information diffuse to different users. Model 1 presents the results of the logistic regression estimating factors that influence the likelihood of receiving information.... In PAGE 34: ... Table3 . Drivers of Access to Information Model 1 Model 2 Dependent Variable: Word Received Rate of Receipt Specification (Coefficient Reported) Logistic (Odds Ratio) Hazard Model (Hazard Ratio) Demography1 Gender Dummy (Male = 1) 1.... ..."

### Table 1. Structuring the objects of investigation with the level model

"... In PAGE 7: ...ne industry or even one country (e.g., Eldanorm, GAEB). Table1 lists the analyzed standards and shows which levels they cover. The standards can be divided into the following groups: Exchange formats developed by e-business software vendors.... ..."

### Table 2. Structure and orientation of criteria for the assessment of software engineering models

### Table 2 Network Structures Used in the Model

1997

Cited by 34

### Table 1: Software Reliability Models

"... In PAGE 3: ... Type : Distribution of the number of failures ex- perienced by time t. From the various models in Table1 , Actually NHPP(Non Homogeneous Poisson Process) model is used for software test data or operational data set but this model can also be useful for dong an analysis of reliability with performance criterion. This paper uses NHPP model and provides per- formance reliability criterion.... In PAGE 3: ...2.3 RELIABILITY GROWTH MODEL WITH PERFORMANCE FACTORS This model is based on hardware performance data accord- ing to the exponential class in Table1 and its formulation is as follows: s s I W K H 0 0 = l failure per CPU second (5) Finite failure category Poisson type Binomial type Other types Exponential class Musa Moranda Schneidewind Goel-Okumoto Jelinski- Moranda Shooman Goel-Okumoto Musa Keiller-Littlewood Weibull class Schick- Wolverton Pareto class Littlewood Gamma class Yamada Infinite failure category Type 1 Type 2 Type 3 Poisson Type Geometric family Moranda Musa- Okumoto Inverse linear Family Littlewood Inverse polynomial class Verral Power family Crow where, s H : Main processor speed(instructions/sec) K : Failure exposure ratio Table 1: Software Reliability Models ... ..."

### Table 1: Determinants of diffusion of innovations in networks

in 1 Contents

2004

"... In PAGE 8: ... The buying decisions are not influenced by the installed base of the whole network, but by the adoption decisions within the personal (stochastic) communication network of each agent. In Table1 contains Determinants of Diffusion processes within relational diffusion networks (Wendt amp; von Westarp 2000). To identify the determinants, Wendt and Westarp used sociological and geographical concepts from research about the diffusion of innovations in relational networks (Valtente 1995).... ..."

### Table 2: amp;timated Software Structure contribution in concurrent execution

"... In PAGE 7: ... Substracting from the expression for total execution time in the real program the obtained event-driven simulation values, the following is obtained: T Real- T Sim = (T Sile + T SIr + T NonSIr) -(T Sile + T NonSIr) = (T Sile + T SIr + T NonSlr- T Sile -T NonSIr) T Real- T Sim = T SIr This expression means that it is possible to obtain the estirnation of the contribution due to the Software Structure for each configuration in concurrent execution by directly substracting the simulation times from the real execution times. Table2 shows the estirnations of the Software Structure contribution in the concurrent case for different... ..."