Fetching the paper…
Reading the bibliography…
Community detection is an important task in social network analysis, allowing us to identify and understand the communities within the social structures.
Fast unfolding of communities in large networks
Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre. 2008 · 2008
Earlier work this paper cites.
Community detection and mining in social media
Lei Tang and Huan Liu. 2010 · 2010
Earlier work this paper cites.
Block-LDA: Jointly modeling entity-annotated text and entity-entity links. In Proceedings of the 2011 SIAM International Conference on Data Mining . SIAM, 450–461
Ramnath Balasubramanyan and William W Cohen. 2011 · 2011
Earlier work this paper cites.
Large-Scale Community Detection on YouTube for Topic Discovery and Exploration. In Fifth International AAAI Conference on Weblogs and Social Media
Ullas Gargi, Wenjun Lu, Vahab Mirrokni, and Sangho Yoon. 2011 · 2011
Earlier work this paper cites.
Demon: a local-first discovery method for overlapping communities. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining . ACM, 615–623
Michele Coscia, Giulio Rossetti, Fosca Giannotti, and Dino Pedreschi. 2012 · 2012
Earlier work this paper cites.
Community detection in Social Media
Symeon Papadopoulos, Yiannis Kompatsiaris, Athena Vakali, and Ploutarchos Spyridonos. 2012 · 2012
Earlier work this paper cites.
Clustering and community detection in directed networks: A survey
Fragkiskos D Malliaros and Michalis Vazirgiannis. 2013 · 2013
Earlier work this paper cites.
Is the sample good enough? Comparing data from twitter’s streaming API with Twitter’s firehose. In 7th International AAAI Conference on Weblogs and Social Media, ICWSM 2013 . AAAI press
Fred Morstatter, Jürgen Pfeffer, Huan Liu, and Kathleen M Carley. 2013 · 2013
Cited alongside, same era.
Efficient community detection in large networks using content and links. In Proceedings of the 22nd international conference on World Wide Web . ACM, 1089–1098
Yiye Ruan, David Fuhry, and Srinivasan Parthasarathy. 2013 · 2013
Cited alongside, same era.
Overlapping community detection at scale: a nonnegative matrix factorization approach. In Proceedings of the sixth ACM international conference on Web search and data mining . ACM, 587–596
Jaewon Yang and Jure Leskovec. 2013 · 2013
Cited alongside, same era.
J. Yang, J. McAuley, and J. Leskovec. 2013 · 2013
Cited alongside, same era.
Label informed attributed network embedding. In Proceedings of the Tenth ACM International Conference on Web Search and Data Mining . ACM, 731–739
Xiao Huang, Jundong Li, and Xia Hu. 2017 · 2017
Later among the works it cites.
Characterizing the 2016 Russian IRA Influence Campaign
Adam Badawy, Aseel Addawood, Kristina Lerman, and Emilio Ferrara. 2018 · 2018
Later among the works it cites.
Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure. In AAAI
Aleksandar Bojchevski and Stephan Günnemann. 2018 · 2018
Later among the works it cites.
Addressing Age-Related Bias in Sentiment Analysis. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18) . ACM, New York, NY, USA, Article 412, 14 pages
Mark Diaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, and Darren Gergle. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Assessing the bias in samples of large online networks
Sandra González-Bailón, Ning Wang, Alejandro Rivero, Javier Borge-Holthoefer, and Yamir Moreno. 2014 · 2014
Cited alongside, same era.
Latent space model for multi-modal social data. In Proceedings of the 25th International Conference on World Wide Web . International World Wide Web Conferences Steering Committee, 447–458
Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, and Aram Galstyan. 2016 · 2016
Cited alongside, same era.
#Snowden: Understanding Biases Introduced by Behavioral Differences of Opinion Groups on Social Media. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI ’16) . ACM, New York, NY, USA, 3352–3363
Q. Vera Liao, Wai-Tat Fu, and Markus Strohmaier. 2016 · 2016
Cited alongside, same era.
Community Detection in Attributed Network. In Companion Proceedings of the The Web Conference 2018 (WWW ’18) . International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 1299–1306
Issam Falih, Nistor Grozavu, Rushed Kanawati, and Younès Bennani. 2018 · 2018
Later among the works it cites.
Embedding Networks with Edge Attributes. In Proceedings of the 29th on Hypertext and Social Media (HT ’18) . ACM, New York, NY, USA, 38–42
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, and Aram Galstyan. 2018 · 2018
Later among the works it cites.
Anger, fear, and games: The long event of# GamerGate
Torill Elvira Mortensen. 2018 · 2018
Later among the works it cites.