Virality Modeling and Analysis

Virality is a virus-like behavior that allows a piece of information to widely and quickly diffuse within the network of adopters through word of mouth. It is about how easy users propagate information to their friends and friends of friends by means of diffusion. While virality of information has s...

Full description

Saved in:
Bibliographic Details
Main Authors: HOANG, Tuan Anh, LIM, Ee-Peng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/3505
https://ink.library.smu.edu.sg/context/sis_research/article/4506/viewcontent/C03___Virality_Modeling_and_Analysis__ICADL2011__.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-4506
record_format dspace
spelling sg-smu-ink.sis_research-45062017-11-19T13:18:38Z Virality Modeling and Analysis HOANG, Tuan Anh LIM, Ee-Peng Virality is a virus-like behavior that allows a piece of information to widely and quickly diffuse within the network of adopters through word of mouth. It is about how easy users propagate information to their friends and friends of friends by means of diffusion. While virality of information has several interesting applications, there are much research to be conducted on virality. These areas of research include understanding the mechanism of virality, modeling the virality both qualitatively and quantitatively, and applying virality to applications such as marketing, event detection, and others. In this paper, we survey existing works on quantitative models for virality and the relationship between virality and other behaviors. Through the survey, we hope to offer common framework to study topis related to information virality. 2011-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3505 https://ink.library.smu.edu.sg/context/sis_research/article/4506/viewcontent/C03___Virality_Modeling_and_Analysis__ICADL2011__.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Social Media
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Social Media
spellingShingle Computer Sciences
Social Media
HOANG, Tuan Anh
LIM, Ee-Peng
Virality Modeling and Analysis
description Virality is a virus-like behavior that allows a piece of information to widely and quickly diffuse within the network of adopters through word of mouth. It is about how easy users propagate information to their friends and friends of friends by means of diffusion. While virality of information has several interesting applications, there are much research to be conducted on virality. These areas of research include understanding the mechanism of virality, modeling the virality both qualitatively and quantitatively, and applying virality to applications such as marketing, event detection, and others. In this paper, we survey existing works on quantitative models for virality and the relationship between virality and other behaviors. Through the survey, we hope to offer common framework to study topis related to information virality.
format text
author HOANG, Tuan Anh
LIM, Ee-Peng
author_facet HOANG, Tuan Anh
LIM, Ee-Peng
author_sort HOANG, Tuan Anh
title Virality Modeling and Analysis
title_short Virality Modeling and Analysis
title_full Virality Modeling and Analysis
title_fullStr Virality Modeling and Analysis
title_full_unstemmed Virality Modeling and Analysis
title_sort virality modeling and analysis
publisher Institutional Knowledge at Singapore Management University
publishDate 2011
url https://ink.library.smu.edu.sg/sis_research/3505
https://ink.library.smu.edu.sg/context/sis_research/article/4506/viewcontent/C03___Virality_Modeling_and_Analysis__ICADL2011__.pdf
_version_ 1770573256203436032