Inference of node attributes from social network assortativity-Reference-Cited by-同舟云学术

Inference of node attributes from social network assortativity

Published:2019-01-07 Issue:24 Volume:32 Page:18023-18043
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Mulders Dounia^ORCID,de Bodt Cyril,Bjelland Johannes,Pentland Alex,Verleysen Michel,de Montjoye Yves-Alexandre

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-03967-z.pdf

Reference51 articles.

1. Al Zamal F, Liu W, Ruths D (2012) Homophily and latent attribute inference: inferring latent attributes of twitter users from neighbors. In: ICWSM, vol. 270

2. Aral S, Muchnik L, Sundararajan A (2009) Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. Proc Natl Acad Sci 106(51):21544–21549

3. Baluja S, Seth R, Sivakumar D, Jing Y, Yagnik J, Kumar S, Ravichandran D, Aly M (2008) Video suggestion and discovery for youtube: taking random walks through the view graph. In: Proceedings of the 17th international conference on World Wide Web. ACM, London, pp 895–904

4. Bengtsson L, Lu X, Thorson A, Garfield R, Von Schreeb J (2011) Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: a post-earthquake geospatial study in Haiti. PLoS Med 8(8):e1001083

5. Bhagat S, Cormode G, Muthukrishnan S (2011) Node classification in social networks. In: Aggarwal C (ed) Social network data analytics. Springer, Boston, pp 115–148

Cited by 7 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. Whole-body positive synchronization pattern of metabolic transcriptomes;2023-11-17

2. Revisiting the Benefits of Duplicate Questions: Evidence from Knowledge Evolution on Stack Overflow;Proceedings of the Association for Information Science and Technology;2023-10

3. Understanding the Role of the User in Information Propagation on Online Social Networks: A Literature Review and Proposed User Model;Lecture Notes in Networks and Systems;2023

4. MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks;ACM Transactions on Information Systems;2022-12-21

5. An analysis of connectivity, assortativity and cluster structure of the Asian-Australasian cruise shipping network;Maritime Transport Research;2022