Effects of Different Recommendation Algorithms on Structure of Social Networks-Reference-Cited by-同舟云学术

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Effects of Different Recommendation Algorithms on Structure of Social Networks

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
Short-container-title:

Author:

Banihashemi Sepideh¹,Abhari Abdolreza¹

Affiliation:

1. Ryerson University,Distributed Systems and Multimedia Processing Laboratory (DSMP lab),Department of Computer Science,Toronto,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9798893/9798894/09799118.pdf?arnumber=9799118

Reference20 articles.

1. Exploring the Effects of Link Recommendations on Social Networks: An Agent-Based Modeling Approach;sibley;SpringSim '20 Proceedings of the 2020 Spring Simulation conference,2020

2. Empirical study of topic modeling in Twitter

3. Collaborative Filtering Recommender Systems

4. Generating stochastic data to simulate a twitter user;li;CNS '17 Proceedings of the 20th Communications & Networking Symposium,2017

5. COVID-19 Open Research Dataset Challenge (CORD-19);goldbloom;Allen Institute For AI,0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine culture;Nature Human Behaviour;2023-11-20

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