Defining and evaluating Twitter influence metrics: a higher-order approach in Neo4j

Author:

Drakopoulos Georgios,Kanavos Andreas,Mylonas Phivos,Sioutas Spyros

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detecting Community Through User Similarity Analysis on Twitter;2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM);2024-01-03

2. Enhancing Sentiment Classification in Twitter Data Through Context-Driven Text Processing and Tweet Embeddings;2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC);2023-10-16

3. Identifying the influential nodes in complex social networks using centrality-based approach;Journal of King Saud University - Computer and Information Sciences;2022-11

4. The Predictive Power of a Twitter User’s Profile on Cryptocurrency Popularity;Big Data and Cognitive Computing;2022-05-20

5. MULTI-RESOLUTION REPRESENTATION USING GRAPH DATABASE;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2022-05-18

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