It is quite common that guides are introduced to suppress the information spreading in modern society for different purposes. In this paper, an agent-based model is established to quantitatively analyze the impacts of suppressing guides on information spreading. We find that the spreading threshold depends on the attractiveness of the information and the topology of the social network with no s...

team network structure has been shown to be an important determinant of both team and individual performance outcomes, yet few studies have investigated the relationship between team network structure and technology usage behaviors. Drawing from social network and technology use literature, we examine how the structure 10 MAgNI, ANgSt, AND AgArWAl of a team’s advice-seeking network affects indi...

.01 This section establishes standards and provides guidance on determining overall responses and designing and performing further audit procedures to respond to the assessed risks of material misstatement1 at the financial statement and relevant assertion levels in a financial statement audit, and on evaluating the sufficiency and appropriateness of the audit evidence obtained. In particular, ...

In this paper, we focus on a particular task which consists in explaining the source and the target of sentiments expressed in social networks. We propose a method for French, which overcomes a fine syntactic parsing and successfully integrate the Conditional Random Field (CRF) method and a smart exploration of a very large lexical network. Quantitative and qualitative experiments were performe...

Diffusion of innovations and knowledge is in most cases accounted for by the logistic model. Fieldwork research however constantly report that empirical data utterly deviate from this mathematical function. This chapter scrutinizes network forcing of diffusion process. The departure of empirical data from the logistic function is explained by social network discreteness, heterogeneity and aniso...

Explaining how entrepreneurs overcome information asymmetry between themselves and potential investors to obtain financing is an important issue for entrepreneurship research. Our premise is that economic explanations for venture finance, which do not consider how social ties influence this process, are undersocialized and incomplete. However, we also argue that organization theoretic arguments...

This paper is concerned with the social organization of Santeria, as well as somerelated Afro-American religions observed on the eastern coast of the United States.The author specifies several levels of context and analysis and, as the result of twodecades of fieldwork, is able to provide a description of Santeria social organization atthe local, regional, national, and internat...

Clusters of small and medium enterprises have been very successful in promoting the growth of MSMEs (Micro, Small, and Medium Enterprise) all over the world. The success of these clusters is largely due to the individual small firms of the cluster closely collaborating and sharing resources. Sharing is the theme of our paper, where we focus on understanding how productivity and efficiency of an...

Intelligent Tutoring Systems research has made assumptions that may be violated in illdefined tasks. We describe ethics case analysis, an important educational yet ill-defined task in the domain of bioengineering ethics. We discuss an ITS approach for this task that involves structuring the learning experience and using AI to help guide student peer reviewers.

Markov networks (MNs) are a powerful way to compactly represent a joint probability distribution, but most MN structure learning methods are very slow, due to the high cost of evaluating candidates structures. Dependency networks (DNs) represent a probability distribution as a set of conditional probability distributions. DNs are very fast to learn, but the conditional distributions may be inco...