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عنوان
Algorithms for Modeling Mass Movements and their Adoption in Social Networks

پدید آورنده
Fang Jin

موضوع
Computer science,Applied sciences;Event detection;Group anomalies;Information propagation;Mass movement;Social networks

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

NATIONAL BIBLIOGRAPHY NUMBER

Number
TL49721

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Algorithms for Modeling Mass Movements and their Adoption in Social Networks
General Material Designation
[Thesis]
First Statement of Responsibility
Fang Jin
Subsequent Statement of Responsibility
Ramakrishnan, Narendran

.PUBLICATION, DISTRIBUTION, ETC

Name of Publisher, Distributor, etc.
Virginia Polytechnic Institute and State University
Date of Publication, Distribution, etc.
2016

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
125

GENERAL NOTES

Text of Note
Committee members: Cao, Yang; Chen, Feng; Lu, Chang-Tien; North, Chris

NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.

Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-0-355-34076-1

DISSERTATION (THESIS) NOTE

Dissertation or thesis details and type of degree
Ph.D.
Discipline of degree
Computer Science
Body granting the degree
Virginia Polytechnic Institute and State University
Text preceding or following the note
2016

SUMMARY OR ABSTRACT

Text of Note
Online social networks have become a staging ground for many modern movements, with the Arab Spring being the most prominent example. In an effort to understand and predict those movements, social media can be regarded as a valuable social sensor for disclosing underlying behaviors and patterns. To fully understand mass movement information propagation patterns in social networks, several problems need to be considered and addressed. Specifically, modeling mass movements that incorporate multiple spaces, a dynamic network structure, and misinformation propagation, can be exceptionally useful in understanding information propagation in social media.

TOPICAL NAME USED AS SUBJECT

Computer science

UNCONTROLLED SUBJECT TERMS

Subject Term
Applied sciences;Event detection;Group anomalies;Information propagation;Mass movement;Social networks

PERSONAL NAME - PRIMARY RESPONSIBILITY

Galonnier, Juliette

PERSONAL NAME - SECONDARY RESPONSIBILITY

Ramakrishnan, Narendran

CORPORATE BODY NAME - SECONDARY RESPONSIBILITY

Subdivision
Computer Science
Virginia Polytechnic Institute and State University

LOCATION AND CALL NUMBER

Call Number
1990225119; 10668529

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

p

[Thesis]
276903

a
Y

Proposal/Bug Report

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