Community detection in social networks by spectral embedding of typed graphs-Reference-Cited by-同舟云学术

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Community detection in social networks by spectral embedding of typed graphs

Published:2023-12-16 Issue:1 Volume:14 Page:
ISSN:1869-5469
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Alfaqeeh M.,Skillicorn D. B.

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s13278-023-01172-y.pdf

Reference70 articles.

1. Akbas E, Zhao P (2017) Attributed graph clustering: an attribute-aware graph embedding approach. In: Proceedings of the 2017 IEEE/ACM international conference on advances in social networks analysis and mining 2017, pp 305–308

2. Bansal P, Bansal R, Varma V (2015) Towards deep semantic analysis of hashtags. In: European conference on information retrieval, Springer, pp 453–464

3. Bhat SI, Arif T, Malik MB et al (2020) Browser simulation-based crawler for online social network profile extraction. Int J Web Based Commun 16(4):321–342

4. Blei DM, Lafferty JD (2006) Dynamic topic models. In: Proceedings of the 23rd international conference on Machine learning, pp 113–120

5. Bojanowski P, Grave E, Joulin A et al (2017) Enriching word vectors with subword information. Transa Assoc Comput Ling 5:135–146

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