A Theoretical Approach to Discover Mutual Friendships from Social Graph Networks-Reference-Cited by-同舟云学术

A Theoretical Approach to Discover Mutual Friendships from Social Graph Networks

Published:2019-12-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services
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Author:

Singh Sehaj Pal¹,Leung Carson K.¹,Jiang Fan²,Cuzzocrea Alfredo³

Affiliation:

1. Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada

2. Department of Computer Science, University of Northern British Columbia (UNBC), Prince George, BC, Canada

3. iDEA Lab, University of Calabria, Rende, CS, Italy

Funder

University of Manitoba

Natural Sciences and Engineering Research Council of Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366030.3366077

Reference26 articles.

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3. L. AlSuwaidan & M. Ykhlef. 2017. A novel information diffusion model for online social networks. In iiWAS 2017 pp. 116--120. L. AlSuwaidan & M. Ykhlef. 2017. A novel information diffusion model for online social networks. In iiWAS 2017 pp. 116--120.

4. Model bots, not humans on social media;Chavoshi N.;IEEE/ACM ASONAM,2018

5. Privacy Preserving OLAP over Distributed XML Data: A Theoretically-Sound Secure-Multiparty-Computation Approach

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