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Analyzing User Activities, Demographics, Social Network Structure and User-Generated Content on Instagram.

, , and . CoRR, (2014)

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Whoo.ly: facilitating information seeking for hyperlocal communities using social media., , and . CHI, page 3481-3490. ACM, (2013)Dude, srsly?: The Surprisingly Formal Nature of Twitter's Language., , and . ICWSM, The AAAI Press, (2013)BayesWipe: A multimodal system for data cleaning and consistent query answering on structured bigdata., , , and . IEEE BigData, page 15-24. IEEE Computer Society, (2014)Everyone Can Be a Star: Quantifying Grassroots Online Sellers' Live Streaming Effects on Product Sales., , , and . HICSS, page 1-6. ScholarSpace, (2019)Modeling Twitter Engagement in Real-World Events., and . HICSS, page 1-10. ScholarSpace / AIS Electronic Library (AISeL), (2017)Graph Neural Network for Customer Engagement Prediction on Social Media Platforms., , , and . HICSS, page 1-9. ScholarSpace, (2021)Analyzing User Activities, Demographics, Social Network Structure and User-Generated Content on Instagram., , and . CoRR, (2014)Predicting Complainers on Social Media: A Machine Learning Approach., , and . ICIS, Association for Information Systems, (2018)Ontology driven adaptive data processing in wireless sensor networks., , and . Infoscale, volume 304 of ACM International Conference Proceeding Series, page 46. ACM, (2007)Collective Sensemaking via Social Sensors: Extracting, Profiling, Analyzing, and Predicting Real-world Events., , and . KDD, page 2127-2128. ACM, (2016)