[PDF][PDF] A comprehensive survey of time series anomaly detection in online social network data

MR Islam, N Sultana, MA Moni, PC Sarkar… - … Journal of Computer …, 2017 - researchgate.net
In the field of data mining, the social network is one of the complex systems that poses
significant challenges in this area. Time series anomaly detection is one of the critical …

Anomaly detection in online social networks: using data-mining techniques and fuzzy logic

R Hassanzadeh - 2014 - eprints.qut.edu.au
This research is a step forward in improving the accuracy of detecting anomaly in a data
graph representing connectivity between people in an online social network. The proposed …

# tag: Meme or event?

D Kotsakos, P Sakkos, I Katakis… - 2014 IEEE/ACM …, 2014 - ieeexplore.ieee.org
Users in social networks use hashtags for various reasons, some of them being serving
search purposes, gaining attention or popularity or starting new conversation-thus, creating …

Language agnostic meme-filtering for hashtag-based social network analysis

D Kotsakos, P Sakkos, I Katakis… - Social Network Analysis …, 2015 - Springer
Users in social networks utilize hashtags for a variety of reasons. In many cases, hashtags
serve retrieval purposes by labeling the content they accompany. More often than not …

[PDF][PDF] Análise da Fidelidade no Comportamento dos Usuários do Twitter

JBPM JÚNIOR - inf.ufg.br
Matos Júnior, João Batista. Análise da Fidelidade no Comportamento dos Usuários do
Twitter. Goiânia, 2017. 102 p. Dissertação de Mestrado. Instituto de Informática …