k -Metric antidimension: A privacy measure for social graphs-Reference-Cited by-同舟云学术

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k -Metric antidimension: A privacy measure for social graphs

Published:2016-01 Issue: Volume:328 Page:403-417
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Trujillo-Rasua Rolando,G. Yero Ismael^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference29 articles.

1. Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography;Backstrom,2007

2. All your contacts are belong to us: automated identity theft attacks on social networks;Bilge,2009

3. Identity obfuscation in graphs through the information theoretic lens;Bonchi;Inf. Sci.,2014

4. Anonymizing graphs;Feder;CoRR,2008

5. On the metric dimension of a graph;Harary;Ars Combinatoria,1976

Cited by 36 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. On the $$(k,\ell )$$-anonymity of networks via their k-metric antidimension;Scientific Reports;2023-11-04

2. Graphs whose mixed metric dimension is equal to their order;Computational and Applied Mathematics;2023-06-11

3. A New Technique to Uniquely Identify the Edges of a Graph;Symmetry;2023-03-20

4. On mixed metric dimension in subdivision, middle, and total graphs;Quaestiones Mathematicae;2023-03-06

5. Metric Dimension Threshold of Graphs;Journal of Mathematics;2022-09-14

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