Mathematical model for the analysis of spread of social influence have emerged as a major topic of interest among the researchers in diverse disciplines such as sociology, economics and computer science. Empirical studies of diffusion on social networks date back to the 1940s. Later on, theoretical propagation models were introduced in late 1970s. In the recent years, Online Social Networks such as Facebook, Twitter and Linkedin has experienced explosive growth and these have remarkably changed the way people communicate.
Inherently, study of the dynamics of these networks using partial differential equation(PDE) based has attracted many researchers.
Page: 1 2
Data is being generated from various sources, including electronic devices, machines, and social media, across… Read More
An Apache Kafka outage occurs when a Kafka cluster or some of its components fail,… Read More
Complex event processing (CEP) is a highly effective and optimized mechanism that combines several sources… Read More
Source:- www.PacktPub.com This book focuses on data science, a rapidly expanding field of study and… Read More
Over the past few years, Apache Kafka has emerged as the top event streaming platform… Read More
In the current fast-paced digital age, many data sources generate an unending flow of information,… Read More
