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Title:Delving into the successes and failures of stack exchange communities
Author(s):Agrawal, Ashish
Advisor(s):Sundaram, Hari
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Stack Exchange
Q&A Network
Growth
Abstract:In this day and age, the Internet has become an integral part of our lives. Question and answer (Q&A) networks like Stack Exchange have grown to become major sources of knowledge on the Internet. On the Internet, users devote time into looking for answers to questions they have. Sometimes, these users are able to find these answers and other times they do not, thus wasting their time. If these Q&A networks become more successful, there would be higher chances for these users to find answers to their questions since there will be more information on the Internet. The aim of this study is to understand what factor(s) cause a network to be a success or a failure, therefore, improving the network. In this study, we have analyzed data from such Q&A networks, Stack Exchanges. Through data analysis, we have found a factor that causes most of these networks to become successful. Applying the insights that we obtained, we built a model to group the Stack Exchange groups to successful and unsuccessful networks. Our model has achieved over 71% accuracy in predicting Stack Exchange groups’ success that are at least a year old. These results provide insights on how useful these factors are in determining the success of a Q&A network. The implications of these results will allow us to help these networks to become successful, which will increase the quality of the Internet.
Issue Date:2017-01-18
Type:Thesis
URI:http://hdl.handle.net/2142/97251
Rights Information:Copyright 2017 Ashish Agrawal
Date Available in IDEALS:2017-08-10
Date Deposited:2017-05


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