Lognormal Infection Times of Online Information Spread

📝 Original Info

• Title: Lognormal Infection Times of Online Information Spread
• ArXiv ID: 1305.5235
• Date: 2013-05-23
• Authors: Researchers from original ArXiv paper

📝 Abstract

The infection times of individuals in online information spread such as the inter-arrival time of Twitter messages or the propagation time of news stories on a social media site can be explained through a convolution of lognormally distributed observation and reaction times of the individual participants. Experimental measurements support the lognormal shape of the individual contributing processes, and have resemblance to previously reported lognormal distributions of human behavior and contagious processes.

💡 Deep Analysis

Deep Dive into Lognormal Infection Times of Online Information Spread.

The infection times of individuals in online information spread such as the inter-arrival time of Twitter messages or the propagation time of news stories on a social media site can be explained through a convolution of lognormally distributed observation and reaction times of the individual participants. Experimental measurements support the lognormal shape of the individual contributing processes, and have resemblance to previously reported lognormal distributions of human behavior and contagious processes.

📄 Full Content

Reference