Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

In this paper, we perform an empirical analysis of the cyber criminal ecosystem on Twitter.
Essentially, through analyzing inner social relationships in the criminal account community …

Being able to keep the graph scale small while capturing the properties of the original social
graph, graph sampling provides an efficient, yet inexpensive solution for social network …

It is known that many Twitter users are bots, which are accounts controlled and sometimes
created by computers. Twitter bots can send spam tweets, manipulate public opinion and be …

The rise of social media has changed the nature of the fashion industry. Influence is no
longer concentrated in the hands of an elite few: social networks have distributed power …

Large real-world graphs claim lots of resources in terms of memory and computational
power to study them and this makes their full analysis extremely challenging. In order to …

A large number of Twitter users are bots. They can send spam, manipulate public opinion,
and contaminate the Twitter API stream that underline so many research works. One of the …

To foster an active and engaged community, social networks employ recommendation
algorithms that filter large amounts of contents and provide a user with personalized views of …

With the rapid development of the Internet, social media is affecting and changing people's
lives. The research of network community structure based on a large number of complex …

Data aggregation is a fundamental problem in wireless sensor networks that has attracted
great attention in recent years. To design a data aggregation scheme, delay and energy …