Online social network trend discovery using frequent subgraph mining-Reference-Cited by-同舟云学术

Online social network trend discovery using frequent subgraph mining

Published:2020-08-11 Issue:1 Volume:10 Page:
ISSN:1869-5450
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Rehman Saif Ur^ORCID,Asghar Sohail

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/s13278-020-00682-3.pdf

Reference67 articles.

1. Agrebi S, Jallais J (2015) Explain the intention to use smartphones for mobile shopping. J Retail Consum Serv 22:16–23

2. Algur SP, Bhat P (2016) Web video object mining: expectation maximization and density based clustering of web video metadata objects. Int J Inform Eng Electron Bus 8(1):69

3. Bhat SY, Abulaish M (2013) Analysis and mining of online social networks: emerging trends and challenges. Wiley Interdiscip Rev Data Min Knowl Discov 3(6):408–444

4. Borgatti SP, Mehra A, Brass DJ, Labianca G (2009) Network analysis in the social sciences. Science 323(5916):892–895

5. Borgelt C, Berthold MR (2002) Mining molecular fragments: finding relevant substructures of molecules. In: 2002 IEEE international conference on data mining, pp 51–58. IEEE

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