Haewoon Kwak
9 SlideShares 177 Followers 68 Followings
Personal Information
Organization / Workplace
Qatar Qatar
Occupation
Scientist — Qatar Computing Research Institute
Industry
Education
Website
haewoon.io
About
Dr. Haewoon Kwak is a research scientist at QCRI with a background in complex networks and has studied online social networks for many years. He is a chair of social networks and graph analysis track in WWW 2016. He is a lead author of ``What is Twitter, a social network or news media?'' (WWW 2010), which has been cited more than 3,300 times. Similar to his Twitter paper, he is always exploring new areas, such as his work on YouTube and other online social networks. At QCRI, Haewoon focuses on computational journalism, with particular emphasis on the bias of news media.
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news media social network media attention league of legends lol cyberbullying social media twitter www2018 thewebconf public attention deep learning news photos cloud vision api online social networks online game trolling team competition moba toxic behavior online games verbal abuse chi unfollow activity network cyworld friendship guestbook community imc2009 www2010
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Presentations

(9)
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Mining Communities in Networks: A Solution for Consistency and Its Evaluation

13 years ago • 1148 Views

What is Twitter, a Social Network or a News Media?

13 years ago • 74222 Views

Comparison of Online Social Relations in terms of Volume vs. Interaction: A Case Study of Cyworld

13 years ago • 2867 Views

Fragile Online Relationship: A First Look at Unfollow Dynamics in Twitter

12 years ago • 1678 Views

Linguistic Analysis of Toxic Behavior in an Online Video Game

9 years ago • 2268 Views

Exploring cyberbullying and 
other toxic behavior in 
team competition online games

8 years ago • 1813 Views

Multi-level analysis on structures and dynamics of OSN

8 years ago • 1331 Views

Revealing the Hidden Patterns of News Photos: Analysis of Millions of News Photos through GDELT and Deep Learning-based Vision APIs

7 years ago • 1516 Views

Multiplex Media Attention and Disregard Network among 129 Countries

6 years ago • 873 Views

Likes

(16)
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Generative adversarial networks

Yunjey Choi • 6 years ago

Wasserstein GAN 수학 이해하기 I

Sungbin Lim • 6 years ago

딥러닝과 강화 학습으로 나보다 잘하는 쿠키런 AI 구현하기 DEVIEW 2016

Taehoon Kim • 7 years ago

Exploring temporal graph data with Python: 
a study on tensor decomposition of wearable sensor data (PyData NYC 2015)

André Panisson • 8 years ago

악평생성기 (Bad Comment Generator using RNN) _ 송치성

Chisung Song • 7 years ago

Topological data analysis

Sunghyon Kyeong • 9 years ago

세계 선도 It사 및 게임사 벤치마킹 + 인사이트 보고서 (6부)_새로운 삶의 시작

Seunghun Lee • 8 years ago

New Ways to Succeed With Marketing on LinkedIn

Black Marketing • 8 years ago

Games with a purpose

Elena Simperl • 10 years ago

Beyond Gamification: designing the player journey

Amy Jo Kim • 13 years ago

[261] 실시간 추천엔진 머신한대에 구겨넣기

NAVER D2 • 8 years ago

Python과 Git으로 만드는 모바일 게임 패치 시스템

Youngtaek Oh • 8 years ago

2015 py con word2vec이 추천시스템을 만났을때

choi kyumin • 8 years ago

150826 데이터 기반 탐사 저널리즘 사례 공유

Jade Jongdae Lee • 8 years ago

한국어와 NLTK, Gensim의 만남

Eunjeong (Lucy) Park • 8 years ago

What is Twitter, a Social Network or a News Media?

Haewoon Kwak • 13 years ago
Personal Information
Organization / Workplace
Qatar Qatar
Occupation
Scientist — Qatar Computing Research Institute
Industry
Education
Website
haewoon.io
About
Dr. Haewoon Kwak is a research scientist at QCRI with a background in complex networks and has studied online social networks for many years. He is a chair of social networks and graph analysis track in WWW 2016. He is a lead author of ``What is Twitter, a social network or news media?'' (WWW 2010), which has been cited more than 3,300 times. Similar to his Twitter paper, he is always exploring new areas, such as his work on YouTube and other online social networks. At QCRI, Haewoon focuses on computational journalism, with particular emphasis on the bias of news media.
Tags
news media social network media attention league of legends lol cyberbullying social media twitter www2018 thewebconf public attention deep learning news photos cloud vision api online social networks online game trolling team competition moba toxic behavior online games verbal abuse chi unfollow activity network cyworld friendship guestbook community imc2009 www2010
See more