Analysis of topological characteristics of huge online social networking services

Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and or...

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Main Authors: AHN, Yong-Yeol, HAN, Seungyeop, KWAK, Haewoon, MOON, Sue, JEONG, Hawoong
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Language:English
Published: Institutional Knowledge at Singapore Management University 2007
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Online Access:https://ink.library.smu.edu.sg/sis_research/5368
https://ink.library.smu.edu.sg/context/sis_research/article/6372/viewcontent/Analysis_of_topological_characteristics___AV.pdf
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spelling sg-smu-ink.sis_research-63722020-11-19T06:54:21Z Analysis of topological characteristics of huge online social networking services AHN, Yong-Yeol HAN, Seungyeop KWAK, Haewoon MOON, Sue JEONG, Hawoong Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and orkut, each with more than 10 million users, respectively. We have access to complete data of Cyworld's ilchon (friend) relationships and analyze its degree distribution, clustering property, degree correlation, and evolution over time. We also use Cyworld data to evaluate the validity of snowball sampling method, which we use to crawl and obtain partial network topologies of MySpace and orkut. Cyworld, the oldest of the three, demonstrates a changing scaling behavior over time in degree distribution. The latest Cyworld data's degree distribution exhibits a multi-scaling behavior, while those of MySpace and orkut have simple scaling behaviors with different exponents. Very interestingly, each of the two e ponents corresponds to the different segments in Cyworld's degree distribution. Certain online social networking services encourage online activities that cannot be easily copied in real life; we show that they deviate from close-knit online social networks which show a similar degree correlation pattern to real-life social networks. 2007-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5368 info:doi/10.1145/1242572.1242685 https://ink.library.smu.edu.sg/context/sis_research/article/6372/viewcontent/Analysis_of_topological_characteristics___AV.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 Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Databases and Information Systems
Numerical Analysis and Scientific Computing
AHN, Yong-Yeol
HAN, Seungyeop
KWAK, Haewoon
MOON, Sue
JEONG, Hawoong
Analysis of topological characteristics of huge online social networking services
description Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and orkut, each with more than 10 million users, respectively. We have access to complete data of Cyworld's ilchon (friend) relationships and analyze its degree distribution, clustering property, degree correlation, and evolution over time. We also use Cyworld data to evaluate the validity of snowball sampling method, which we use to crawl and obtain partial network topologies of MySpace and orkut. Cyworld, the oldest of the three, demonstrates a changing scaling behavior over time in degree distribution. The latest Cyworld data's degree distribution exhibits a multi-scaling behavior, while those of MySpace and orkut have simple scaling behaviors with different exponents. Very interestingly, each of the two e ponents corresponds to the different segments in Cyworld's degree distribution. Certain online social networking services encourage online activities that cannot be easily copied in real life; we show that they deviate from close-knit online social networks which show a similar degree correlation pattern to real-life social networks.
format text
author AHN, Yong-Yeol
HAN, Seungyeop
KWAK, Haewoon
MOON, Sue
JEONG, Hawoong
author_facet AHN, Yong-Yeol
HAN, Seungyeop
KWAK, Haewoon
MOON, Sue
JEONG, Hawoong
author_sort AHN, Yong-Yeol
title Analysis of topological characteristics of huge online social networking services
title_short Analysis of topological characteristics of huge online social networking services
title_full Analysis of topological characteristics of huge online social networking services
title_fullStr Analysis of topological characteristics of huge online social networking services
title_full_unstemmed Analysis of topological characteristics of huge online social networking services
title_sort analysis of topological characteristics of huge online social networking services
publisher Institutional Knowledge at Singapore Management University
publishDate 2007
url https://ink.library.smu.edu.sg/sis_research/5368
https://ink.library.smu.edu.sg/context/sis_research/article/6372/viewcontent/Analysis_of_topological_characteristics___AV.pdf
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