PPT-Community Detection in Political Twitter Networks using Non

Mert Ozer Nyunsu Kim Hasan Davulcu Motivation Motivation Motivation Motivation Group Them Group Them Motivation Jointly clustering connectivity and content of tweeters to detect latent . Liu. , . Ya. Tian. , . Yujia. Pham, . Anh. TwitterMonitor. : . Trend Detection over the Twitter Stream. EvenTweet. : . Online Localized Event Detection from Twitter. Michael . Mathioudakis. , Nick . Koudas. Anlei Dong Ruiqiang Zhang Pranam Kolari Jing Bai. Fernando Diaz Yi Chang Zhaohui Zheng. Information Retrieval Seminar. Speaker: Luciano Del Corro. Opponent: Monika Mitrevska. Universität des Saarlandes – Max Planck Institute für Informatik. Streamed data Vs. Query database. Two methods to get the data we need :. S. treamed from Twitter (This is what we have chosen). Advantage: It is free and takes no time to get.. Con: . S. ubject to availability--twitter only release part of its stream data to personal accounts but more to those who with organization accounts. However, we do not know exactly how much data does twitter release to the public.. Abstract. Twitter is prone to malicious tweets containing URLs for spam, phishing, and malware distribution. Conventional Twitter spam detection schemes utilize account features such as the ratio of tweets containing URLs and the account creation date, or relation features in the Twitter graph. These detection schemes are ineffective against feature fabrications or consume much time and resources.. And how best to use it. Navin Kabra. http://punetech.com. @. ngkabra. and @. punetech. on twitter. Twitter is now a legitimate source of news. Actual tweet:. “#. mumbai. : had a chat with someone at BBC world service. They are following twitter to keep themselves updated.”. Virginia Waters. What is Twitter?. A 140 character . “microblog. ”. www.twitter.com. You tweet about whatever you’d like. Started out with people tweeting mundane things. Has evolved to a more useful tool. inWireless. Sensor Networks. Abstract. Wireless sensor networks are vulnerable to the node clone, and several distributed protocols have been proposed to . de¬tect. this attack. . However, they require too strong assumptions to be practical for large-scale, randomly deployed sensor networks. . Application to voting patterns in the US Senate. Based on . “Sequential . detection of temporal communities . by . estrangement . confinement”. Kawadia. , Sreenivasan, . Sci. Rep. . 1. :794 (2015). p. arty. Understanding Twitter. Twitter is all about building . relationships. Understanding Twitter. Start with a . personal. account. Understanding Twitter. When in Rome… Learn . the . language. , . Yujia. Pham, . Anh. TwitterMonitor. : . Trend Detection over the Twitter Stream. EvenTweet. : . Online Localized Event Detection from Twitter. Michael . Mathioudakis. , Nick . Koudas. TwitterMoniter. x. )/. x. as . x. approaches 0 . Jeff Morgan. Department of Mathematics. University of Houston. jmorgan@math.uh.edu. Why Use Twitter?. Simplicity. Availability. Cost. Platform Freedom. Flexibility. Milad Ghaznavi. 1. Outline. Introduction. Dataset. Multi Layer Perceptron. Convolutional Neural Network. Evaluation. Related Work. Conclusion. 2. Introduction. Intrusion Detection. Background. 3. Intrusion Detection. It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. A Behavioral Modeling . Approach. Ashwin. . Rajadesingan. , Reza Zafarani, and . Huan. . Liu. Sarcasm. . . a . nuanced form of language where usually, the user explicitly states the opposite of what she implies. .