Detecting hidden nodes in complex networks from time series

Ri-Qi Su, Wen-Xu Wang, Ying-Cheng Lai

Research output: Contribution to journalArticlepeer-review

72 Citations (Scopus)


We develop a general method to detect hidden nodes in complex networks, using only time series from nodes that are accessible to external observation. Ourmethod is based on compressive sensing and we formulate a general framework encompassing continuous- and discrete-time and the evolutionary-game type of dynamical systems as well. For concrete demonstration, we present an example of detecting hidden nodes from an experimental social network. Our paradigm for detecting hidden nodes is expected to find applications in a variety of fields where identifying hidden or black-boxed objects based on a limited amount of data is of interest.

Original languageEnglish
Article number065201
Number of pages4
JournalPhysical Review. E, Statistical, Nonlinear and Soft Matter Physics
Issue number6
Publication statusPublished - 29 Jun 2012


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