Decomposing Twitter Graphs Based On Hashtag Trajectories: Mining And Clustering Paths Over MongoDB
Author:
Affiliation:
1. Humanistic and social informatics lab, Ionian University, Greece
2. Department of Computer Engineering and Informatics, University of Patras, Greece
3. University of Patras, Greece
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3549737.3549768
Reference40 articles.
1. Thulfiqar Hussein Altahmazi. 2020. Collective pragmatic acting in networked spaces: The case of# activism in Arabic and English Twitter discourse. Lingua 239(2020). Thulfiqar Hussein Altahmazi. 2020. Collective pragmatic acting in networked spaces: The case of# activism in Arabic and English Twitter discourse. Lingua 239(2020).
2. Detection of Spammers in Twitter marketing: A Hybrid Approach Using Social Media Analytics and Bio Inspired Computing
3. Adam Badawy , Emilio Ferrara , and Kristina Lerman . 2018. Analyzing the digital traces of political manipulation: The 2016 Russian interference Twitter campaign . In ASONAM. IEEE , 258–265. Adam Badawy, Emilio Ferrara, and Kristina Lerman. 2018. Analyzing the digital traces of political manipulation: The 2016 Russian interference Twitter campaign. In ASONAM. IEEE, 258–265.
4. Susan J Blackmore. 2000. The meme machine (1sted.). Oxford Paperbacks. Susan J Blackmore. 2000. The meme machine (1sted.). Oxford Paperbacks.
5. Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs
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