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A diversity-based model for identifying influential users in social networks
Date Issued
2012
Date
2012
Author(s)
Lin, Chung-Ting
Abstract
Social Network developed very fast in the online world in recent years. It has been a part of people’s life. More and more people spend a lot of time on Social Network. The hot messages spread everywhere and very fast on Social Network in few hours. Thus, if we can find the most influence people on Social Network, we can transfer the messages to the influence people on Social Network. Then the messages will spread out to many users.
The purpose of this thesis is using social diversity to estimate influence. We propose a new way to evaluate our algorithm by using synthetic graph. Our contribution: 1. Point out the problems of finding influence people. 2. Use synthetic graph to evaluate influence rank. 3. Propose several methods to estimate influence with social diversity. We are the pioneer who estimate influence with social diversity. For finding the influence people , we can spread message through these people , and then the message will spread very fast and far away.
The purpose of this thesis is using social diversity to estimate influence. We propose a new way to evaluate our algorithm by using synthetic graph. Our contribution: 1. Point out the problems of finding influence people. 2. Use synthetic graph to evaluate influence rank. 3. Propose several methods to estimate influence with social diversity. We are the pioneer who estimate influence with social diversity. For finding the influence people , we can spread message through these people , and then the message will spread very fast and far away.
Subjects
social network
influence, social diversity
influence people
synthetic graph
Type
thesis
File(s)
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Name
ntu-101-R99944044-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):5c17fcc7ba52c233eaa6fd732c7d1c94