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In this paper, topology-informed network information dynamics models are proposed to characterize the evolution of information processing capabilities of CPSS nodes in networks. The models are based on a mesoscale probabilistic graph model, where the sensing and computing capabilities of the nodes are captured as the probabilities of correct predictions. A topology-informed vector autoregression model and a latent variable vector autoregression model are proposed to model the correlations between prediction capabilities of nodes as linear functional relationships. A hybrid Gaussian process regression model is also developed to capture both the nonlinear spatial and temporal correlations between nodes. The new information dynamics models are demonstrated and tested with a simulator of CPSS networks. The results show that the topological information of networks can improve the efficiency in constructing the time series models. The network topology also has influences on the prediction capabilities of CPSS.<\/jats:p>","DOI":"10.1017\/s0890060421000159","type":"journal-article","created":{"date-parts":[[2021,7,14]],"date-time":"2021-07-14T03:12:10Z","timestamp":1626232330000},"page":"316-331","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":2,"title":["Topology-informed information dynamics modeling in cyber\u2013physical\u2013social system networks"],"prefix":"10.1017","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9324-4191","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"first","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2021,7,14]]},"reference":[{"key":"S0890060421000159_ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487624"},{"key":"S0890060421000159_ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.22"},{"key":"S0890060421000159_ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2017.8038392"},{"key":"S0890060421000159_ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SysCon.2013.6549954"},{"key":"S0890060421000159_ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2000367.2000374"},{"key":"S0890060421000159_ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2019.121128"},{"key":"S0890060421000159_ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24106-7"},{"key":"S0890060421000159_ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2015.12.003"},{"key":"S0890060421000159_ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcip.2012.08.002"},{"key":"S0890060421000159_ref5","doi-asserted-by":"publisher","DOI":"10.1145\/988672.988739"},{"key":"S0890060421000159_ref8","doi-asserted-by":"publisher","DOI":"10.1115\/DETC2015-47243"},{"key":"S0890060421000159_ref26","doi-asserted-by":"publisher","DOI":"10.1115\/1.4039148"},{"key":"S0890060421000159_ref22","unstructured":"Simma, A and Jordan, MI (2010) Modeling events with cascades of poisson processes. 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