Titulo Estágio
Retweet Predictive Model in Twitter
Áreas de especialidade
Sistemas Inteligentes
Engenharia de Software
Local do Estágio
Laboratório de Redes Neuronais (LARN), DEI-FCTUC
Enquadramento
Retweeting is the key mechanism to information diffusion in Twitter. As a means of disseminating useful information, it plays an important role to build recommendation engines for personalized Twitter streams. Even though a lot of information is shared via its social network structure in Twitter, little is known yet about how and why certain information spreads more widely than others.
Objetivo
The main goal is to build a retweet predictive model based on the properties extracted from Twitter streams. The model should empirically show how impact of factors (e.g. URLs, #Hashtags, etc.) influence retweeting predictability.
The idea is that recommendations and personalization should help to optimize the information diffusion that already naturally occurs in the Twitter network. The retweet predictive model would enable users to catch interesting items that might have missed in a large number of tweets.
Plano de Trabalhos - Semestre 1
1)State-of-the art review of Microblogging and Twitter social networks, Sept 2016
2)Features Extraction in Twitter social networks streams Sep-Oct 2016
3)Exploratory analysis in retweeting data and preliminary tests Nov-Dec 2016
4)Intermediate report and plan of possible extensions or alternatives: Jan 2017
Plano de Trabalhos - Semestre 2
1)Development of a Predictive Retweet Model Feb-May 2017
2)Tests and analysis of factors impacting retweet in Twitter network Mar-May 2017
3)Thesis Report May-Jun 2017
Condições
Strong skills in programming (Java, Python, C/C++).
Other interesting (optional) skills/interests include Machine Learning and Pattern Recognition.
Observações
Logistics given to the students @Laboratory of Neural Networks (LARN)
DEI-FCTUC
Orientador
Bernardete Ribeiro, Catarina Silva (bribeiro@dei.uc.pt,catarina@dei.uc.pt)
bribeiro@dei.uc.pt 📩