Why We Twitter : Understanding Microblogging Usage and Communities ( 과제 세미나 ) 2012.5.11
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Why We Twitter: Understanding Microblogging
Usage and Communities( 과제 세미나 )
2012.5.11
정보보증 연구실 석사 23 기
윤수진
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목차
이 논문에서 배울 점
내용
결론 – 과제와의 연계
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이 논문에서 배울 점• HITS 알고리즘 적용• Post(tweet) 분류 제안• User 분류 제안
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Twitter 와 Web 비교
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자료 수집• 2007.4.1~2007.5.30 까지 자료를 수집– 76,177 명의 user, 1,348,543 개의 tweet
• User 를 node 로 , following(friend) 를 edge 로 삼아 그래프를 그림
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HITS 알고리즘 이용• Many followers, less friends
-> high authority, low hub score• Less followers, many friends
-> high hub score, low authority
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Community 분류에 사용한 알고리즘
• Modularity– The strength of the community structure
측정–단점 : 한 node 의 overlap 허용 안 함
• CPM(Clique Percolation Method)– Overlapping communities in network 를
찾아냄
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Modularity
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Twitter 적용 예
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Twitter 적용 예
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Tweet 분석
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Tweet 분석
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Post(Tweet) 분류• Manually 분류• Daily Chatter
– Daily routine, currently doing– The largest and most common user
• Conversations– @– 21% of user use it
• Sharing information/URLS– 13% of all posts
• Reporting news– Latest news, comment about current events
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User 분류• Based on the link structure• Information Source– Hub, a large number of followers– (may) regularly post, have valuable post
• Friends– Most relationships
• Information Seeker– (might) post rarely– Many following
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과제와의 연계• 본 논문에서는 특정 topic 안에서 user
를 role 을 찾아 표현 했다 .• 비록 사건의 시작점을 찾아야하는 것도
중요하지만 , 어느 시점에서 폭발적으로 사건이 나타날 때는 information source를 거치는 가에 대해서 고려해볼만 하다
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감사합니다 .
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