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On the Community Identification in Weighted Time-Varying Networks.

, , , , and . ICSIBO, volume 10103 of Lecture Notes in Computer Science, page 111-123. Springer, (2016)

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Triangle packing for community detection : algorithms, visualizations and application to Twitter's network. (La détection de communautés basée sur la triangulation de graphes : algorithmes, visualisations et application aux réseaux de tweets).. University of Lorraine, Nancy, France, (2016)On the visualization of the detected communities in dynamic networks: A case study of Twitter's network., , , , and . CoRR, (2016)Branch-and-bound algorithm for the maximum triangle packing problem., , , and . Comput. Ind. Eng., (2015)Community extraction and visualization in social networks applied to Twitter., , , , and . Inf. Sci., (2018)Improving Sentiment Analysis in Twitter Using Sentiment Specific Word Embeddings., , , , and . IDAACS, page 854-858. IEEE, (2019)Visual Interactive Approach for Mining Twitter's Networks., , , , and . DMBD, volume 9714 of Lecture Notes in Computer Science, page 342-349. Springer, (2016)Deep Hybrid Neural Networks with Improved Weighted Word Embeddings for Sentiment Analysis., , , , and . IDA, volume 12695 of Lecture Notes in Computer Science, page 50-62. Springer, (2021)On the Community Identification in Weighted Time-Varying Networks., , , , and . ICSIBO, volume 10103 of Lecture Notes in Computer Science, page 111-123. Springer, (2016)Triangles as basis to detect communities: an application to Twitter's network., , , , and . CoRR, (2016)Productivity improvement based on a decision support tool for optimization of constrained delivery problem with time windows., and . Comput. Ind. Eng., (2022)