Let the Information Fly: Reconstructing Social Network After a Node Deleted

Shiou Chi Li; Jen Wei Huang

doi:10.1109/TKDE.2023.3303488

Let the Information Fly: Reconstructing Social Network After a Node Deleted

Research output: Contribution to journal › Article › peer-review

Abstract

Despite considerable research into information diffusion, most models focus on static networks. Networks in the real world change over time and information is lost when a node disappears. We sought to resolve the problem of information loss by defining information and information loss in general terms. Experiments demonstrate the efficacy of the proposed scheme in resolving problems of information loss in real-world networks using only a few edges.

Original language	English
Pages (from-to)	1198-1209
Number of pages	12
Journal	IEEE Transactions on Knowledge and Data Engineering
Volume	36
Issue number	3
DOIs	https://doi.org/10.1109/TKDE.2023.3303488
Publication status	Published - 2024 Mar 1

All Science Journal Classification (ASJC) codes

Information Systems
Computer Science Applications
Computational Theory and Mathematics

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10.1109/TKDE.2023.3303488

Cite this

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abstract = "Despite considerable research into information diffusion, most models focus on static networks. Networks in the real world change over time and information is lost when a node disappears. We sought to resolve the problem of information loss by defining information and information loss in general terms. Experiments demonstrate the efficacy of the proposed scheme in resolving problems of information loss in real-world networks using only a few edges.",

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Let the Information Fly: Reconstructing Social Network After a Node Deleted

Abstract

All Science Journal Classification (ASJC) codes

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