A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
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 …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Analyzing spammers' social networks for fun and profit: a case study of cyber criminal ecosystem on twitter
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 …
Essentially, through analyzing inner social relationships in the criminal account community …
Understanding graph sampling algorithms for social network analysis
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 …
graph, graph sampling provides an efficient, yet inexpensive solution for social network …
Discovery, retrieval, and analysis of the'star wars' botnet in Twitter
J Echeverria, S Zhou - Proceedings of the 2017 IEEE/ACM international …, 2017 - dl.acm.org
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 …
created by computers. Twitter bots can send spam tweets, manipulate public opinion and be …
Fitnet: Identifying fashion influencers on twitter
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 …
longer concentrated in the hands of an elite few: social networks have distributed power …
Guided sampling for large graphs
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 …
power to study them and this makes their full analysis extremely challenging. In order to …
[PDF][PDF] The 'star wars' botnet with> 350k twitter bots
J Echeverria, S Zhou - arXiv preprint arXiv:1701.02405, 2017 - regmedia.co.uk
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 …
and contaminate the Twitter API stream that underline so many research works. One of the …
Recommending users: whom to follow on federated social networks
J Trienes, AT Cano, D Hiemstra - arXiv preprint arXiv:1811.09292, 2018 - arxiv.org
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 …
algorithms that filter large amounts of contents and provide a user with personalized views of …
Delay-minimized energy-efficient data aggregation in wireless sensor networks
HN Le, V Zalyubovskiy, H Choo - … International Conference on …, 2012 - ieeexplore.ieee.org
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 …
great attention in recent years. To design a data aggregation scheme, delay and energy …