Integrating Multiple Linear Regression and Infectious Disease Models for Predicting Information Dissemination in Social Networks

Comparative Analysis of Information Dissemination Capabilities of Media and Social Networks

Background and Aim: Human Knowledge depends on data and information that is emerged and transffered from different channels. The dessimination process is different from type, form of transfer, and distribution based on information or awareness. This survey compares the librarians and information scienctist’s information transferring capabilities in mass media and social networks. Methods: This ...

A computational model and convergence theorem for rumor dissemination in social networks

The spread of rumors, which are known as unverified statements of uncertain origin, may threaten the society and it's controlling, is important for national security councils of countries. If it would be possible to identify factors affecting spreading a rumor (such as agents’ desires, trust network, etc.) then, this could be used to slow down or stop its spreading. Therefore, a computational m...

Information dissemination in social-featured opportunistic networks

Information dissemination processes in directed social networks

Social networks can have asymmetric relationships. In the online social network Twitter, a follower receives tweets from a followed person but the followed person is not obliged to subscribe to the channel of the follower. Thus, it is natural to consider the dissemination of information in directed networks. In this work we use the mean-field approach to derive differential equations that descr...

Some Modifications to Calculate Regression Coefficients in Multiple Linear Regression

In a multiple linear regression model, there are instances where one has to update the regression parameters. In such models as new data become available, by adding one row to the design matrix, the least-squares estimates for the parameters must be updated to reflect the impact of the new data. We will modify two existing methods of calculating regression coefficients in multiple linear regres...