Enhanced link prediction using sentiment attribute and community detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-04507-3.pdf
Reference37 articles.
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2. Amancio DR, da F Costa L et al (2015) Topological-collaborative approach for disambiguating authors’ names in collaborative networks. Scientometrics 102(1):465–485
3. Baccianella S, Esuli A, Sebastiani F (2010) Sentiwordnet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: Lrec, vol 10, pp 2200–2204
4. Bastami E, Mahabadi A, Taghizadeh E (2019) A gravitation-based link prediction approach in social networks. Swarm Evol Comput 44:176–186. https://doi.org/10.1016/j.swevo.2018.03.001
5. Bolla M (2011) Penalized versions of the newman-girvan modularity and their relation to normalized cuts and k-means clustering. Phys Rev E 84(1):016108. https://doi.org/10.1103/PhysRevE.84.016108
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