Recently, social network has been paid more and more attention by people. Inaccurate
community detection in social network can provide better product designs, accurate …

Web 2.0 platforms such as blogs, online news, social networks, and Internet forums allow
users to write comments to express their interests and opinions about the content of news …

Compromising legitimate accounts has been the most used strategy to spread malicious
content on OSN (Online Social Network). To address this problem, we propose a pure text …

With the development of social networking applications, microblog has turned to be an
indispensable online communication network in our daily life. For microblog users …

We developed a wavelet-based approach for account classification that detects textual
dissemination by bots on an Online Social Network (OSN). Its main objective is to match …

Recommendation systems play an important role in many practical applications that help
users manage information and provide personalized recommendations. The context in …

Being part and parcel of the daily life for billions of people all over the globe, the domain of
mobile Applications (Apps) is the fastest growing sector of mobile market today. Users …

With the development of mobile Internet, microblog has become one of the most popular
social platforms. The enormous user-generated microblogs have caused the problem of …

With the rapid development of Internet, the world has come into a new era of network
interaction. Internet development in China makes various kinds of software available to …

With the huge amount of information available in online social networks and the increasing
spread of user generated data in different forms, personal recommendation systems …