Results 171 to 180 of about 19,763 (223)
Some of the next articles are maybe not open access.
Characterizing User Behavior in Weibo
2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing, 2012Online social networks (OSNs) have become the most popular services on the Internet, and such systems have become part of users' life all over the world. They visit such systems every day and spend more and more time on them. So understanding users' behavior is important to understand such systems.
Zhengbiao Guo +3 more
openaire +1 more source
Sentiment analysis on Weibo data
2014 IEEE Computers, Communications and IT Applications Conference, 2014With the development of the Internet, people share their emotion statuses or attitudes on online social websites, leading to an explosive rise on the scale of data. Mining sentiment information behind these data helps people know about public opinions and social trends.
Di Li +3 more
openaire +2 more sources
Weibo, and a Tale of Two Worlds
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 2015Weibo is the Twitter counterpart in China that has attracted hundreds of millions of users. We crawled an almost complete Weibo user network that contains 222 million users and 27 billion links in 2013. This paper analyzes the structural properties of this network, and compares it with a Twitter user network.
Wentao Han +5 more
openaire +1 more source
Automatic rumors identification on Sina Weibo
2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016In this paper, we study the problem of detecting rumors spreading in the social networks. Different from the most of the previous works on identifying rumors in Twitter, we select Sina Weibo, the China's major microblog system, as our target. We use two interfaces named "@Weibopiyao" and "Weibo Misinformation-Declaration" from Sina Weibo to help us ...
Liang, Gang, Yang, Jin, Xu, Chun
openaire +3 more sources
Summarizing Weibo with Topics Compression
2018Extractive text summarization aims at selecting a small subset of sentences so that the contents and meaning of the original document are best preserved. In this paper we describe an unsupervised approach to extractive summarization. It combines hierarchical topic modeling (TM) with the Minimal Description Length (MDL) principle and applies them to ...
Marina Litvak +2 more
openaire +1 more source
2020
Abstract This chapter studies the design case of Weibo from China and explores how a local social media service, which at first was regarded as a copycat of a Silicon Valley technology, arose in the Chinese social media market and beat its Western competitor on Wall Street with its culturally sensitive design features. It reviews Weibo’s
openaire +1 more source
Abstract This chapter studies the design case of Weibo from China and explores how a local social media service, which at first was regarded as a copycat of a Silicon Valley technology, arose in the Chinese social media market and beat its Western competitor on Wall Street with its culturally sensitive design features. It reviews Weibo’s
openaire +1 more source
Personalized recommendation for Weibo comic users
2018 Wireless Telecommunications Symposium (WTS), 2018Recommendation system, as one of cost effective solutions dealing with the information-overwhelming problem, has been adopted by many internet e-commerce platforms, such as Amazon, eBay, Asos, etc. User-based or item-based collaborative filtering, as one of the classic recommendation algorithms, suffers greatly from high computational consumption and ...
Yan Sun 0005 +5 more
openaire +1 more source
Gender Classification of Chinese Weibo Users
Proceedings of the 2017 International Conference on E-commerce, E-Business and E-Government, 2017User profiles describe users with many personalized features, which help us recognize and understand users. Gender classification is one of the fundamental research tasks on user profiles. Recently there are few studies on gender classification of Chinese micro-blog authors.
Yao Yu, Tianfang Yao
openaire +1 more source
Discover millions of fake followers in Weibo
Social Network Analysis and Mining, 2016Weibo is the Chinese counterpart of Twitter, which has attracted hundreds of millions of users. Just like other Online Social Networks (hereafter OSNs), Weibo has a large number of fake accounts. They are created to sell their following links to customers, who want to boost their follower counts.
Yi Zhang 0054, Jianguo Lu
openaire +2 more sources
Spammer Detection on Weibo Social Network
2014 IEEE 6th International Conference on Cloud Computing Technology and Science, 2014Social network has become a very popular way for internet users to communicate and interact online. Users spend a great deal of time on famous social networks (e.g. Facebook, Twitter, Sina Weibo, etc.), reading news, discussing events and posting their messages.
Zhipeng Zeng +3 more
openaire +2 more sources