The Reliability to Predict Threat in Social Networks
Journal Title: TEM JOURNAL - Year 2014, Vol 3, Issue 4
Abstract
During the analysis and study it will be possible to create and describe information damping mechanism for transition of threats from one user group to another (within the parameters of portraits), which is the main cause of the massively spreading threat on social networks. Threat predictability in social networks is associated with an adequate scrutiny of system and user portrait, which has a direct correlation.
Authors and Affiliations
Aleksandrs Larionovs
Keywords
Related Articles
- EP ID EP126949
- DOI -
- Views 188
- Downloads 0
An Approach for Designing a Complex Inductor –Workpiece system for Induction Heating
The current paper presents an approach for designing a complex electromagnetic system consisting of an inductor and a workpiece. The approach is based on known methodologies and includes numerical methods for modelling....
Modified Variational Iteration Method for Sine-Gordon Equation
In this paper, we introduce a modified variational iteration method for solving nonlinear differential equations. The main advantage of this modification is that it gives stable and relatively accurate results whil...
Prediction of Modal Shift Using Artificial Neural Networks
Various public transport concepts have been developed to provide solutions to the ever growing problem of traffic in modern times. For instance, intelligent subscription bus service is one of them. This concept aim...
Passive Collecting of Solar Radiation Energy using Transparent Thermal Insulators, Energetic Efficiency of Transparent Thermal Insulators
Abstract: This paper explains passive collection of solar radiation energy using transparent thermal insulators. Transparent thermal insulators are transparent for sunlight, at the same time those are very good the...
New High Head Leaf Gate Form with Smooth Upstream Face
This paper presents new smooth upstream face high head gate form that heavily reduces hydrodynamic forces in conjunction to a total absence of uplift (negative downpull) forces. The research work at the Institute...