FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2952048844> ?p ?o ?g. }

• W2952048844 abstract "In this paper we study the problem of walk-specific information spread in directed complex social networks. Classical models usually analyze the explosive spread of information on social networks (e.g., Twitter) - a broadcast or epidemiological model focusing on the dynamics of a given source node infecting multiple targets. Less studied, but of equal importance is the case of single-track information flow, wherein the focus is on the node-by-node (and not necessarily a newly visited node) trajectory of information transfer. An important and motivating example is the sequence of physicians visited by a given patient over a presumed course of treatment or health event. This is the so-called a referral sequence which manifests as a path in a network of physicians. In this case the patient (and her health record) is a source of information from one physician to the next. With this motivation in mind we build a Bayesian Personalized Ranking (BPR) model to predict the next node on a walk of a given network navigator using network science features. The problem is related to but different from the well-investigated link prediction problem. We present experiments on a dataset of several million nodes derived from several years of U.S. patient referral records, showing that the application of network science measures in the BPR framework boosts hit-rate and mean percentile rank for the task of next-node prediction. We then move beyond the simple information walk to consider the derived network space of all information walks within a period, in which a node represents an information walk and two information walks are connected if have nodes in common from the original (social) network. To evaluate the utility of such a network of information walks, we simulate outliers of information walks and distinguish them with the other normal information walks, using five distance metrics for the derived feature vectors between two information walks. The experimental results of such a proof-of-concept application shows the utility of the derived information walk network for the outlier monitoring of information flow on an intelligent network." @default.
• W2952048844 created "2019-06-27" @default.
• W2952048844 creator A5068655863 @default.
• W2952048844 creator A5072455364 @default.
• W2952048844 creator A5091385869 @default.
• W2952048844 date "2019-06-13" @default.
• W2952048844 modified "2023-09-26" @default.
• W2952048844 title "Towards intelligent complex networks: the space and prediction of information walks" @default.
• W2952048844 cites W102279446 @default.
• W2952048844 cites W2017099446 @default.
• W2952048844 cites W2026493302 @default.
• W2952048844 cites W2060887176 @default.
• W2952048844 cites W2064675550 @default.
• W2952048844 cites W2089691915 @default.
• W2952048844 cites W2093168265 @default.
• W2952048844 cites W2095016473 @default.
• W2952048844 cites W2118882002 @default.
• W2952048844 cites W2137130182 @default.
• W2952048844 cites W2154454189 @default.
• W2952048844 cites W2171279286 @default.
• W2952048844 cites W2395439732 @default.
• W2952048844 cites W2564084673 @default.
• W2952048844 cites W2613228905 @default.
• W2952048844 cites W2885268065 @default.
• W2952048844 cites W2903502609 @default.
• W2952048844 cites W2963105564 @default.
• W2952048844 cites W2963395938 @default.
• W2952048844 cites W3139579388 @default.
• W2952048844 cites W4232932184 @default.
• W2952048844 cites W4244777963 @default.
• W2952048844 doi "https://doi.org/10.1007/s41109-019-0140-5" @default.
• W2952048844 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6565809" @default.
• W2952048844 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31259230" @default.
• W2952048844 hasPublicationYear "2019" @default.
• W2952048844 type Work @default.
• W2952048844 sameAs 2952048844 @default.
• W2952048844 citedByCount "1" @default.
• W2952048844 countsByYear W29520488442022 @default.
• W2952048844 crossrefType "journal-article" @default.
• W2952048844 hasAuthorship W2952048844A5068655863 @default.
• W2952048844 hasAuthorship W2952048844A5072455364 @default.
• W2952048844 hasAuthorship W2952048844A5091385869 @default.
• W2952048844 hasBestOaLocation W29520488441 @default.
• W2952048844 hasConcept C105795698 @default.
• W2952048844 hasConcept C121194460 @default.
• W2952048844 hasConcept C121332964 @default.
• W2952048844 hasConcept C124101348 @default.
• W2952048844 hasConcept C127413603 @default.
• W2952048844 hasConcept C154945302 @default.
• W2952048844 hasConcept C189430467 @default.
• W2952048844 hasConcept C2522767166 @default.
• W2952048844 hasConcept C2779662365 @default.
• W2952048844 hasConcept C33923547 @default.
• W2952048844 hasConcept C41008148 @default.
• W2952048844 hasConcept C62520636 @default.
• W2952048844 hasConcept C62611344 @default.
• W2952048844 hasConcept C66938386 @default.
• W2952048844 hasConceptScore W2952048844C105795698 @default.
• W2952048844 hasConceptScore W2952048844C121194460 @default.
• W2952048844 hasConceptScore W2952048844C121332964 @default.
• W2952048844 hasConceptScore W2952048844C124101348 @default.
• W2952048844 hasConceptScore W2952048844C127413603 @default.
• W2952048844 hasConceptScore W2952048844C154945302 @default.
• W2952048844 hasConceptScore W2952048844C189430467 @default.
• W2952048844 hasConceptScore W2952048844C2522767166 @default.
• W2952048844 hasConceptScore W2952048844C2779662365 @default.
• W2952048844 hasConceptScore W2952048844C33923547 @default.
• W2952048844 hasConceptScore W2952048844C41008148 @default.
• W2952048844 hasConceptScore W2952048844C62520636 @default.
• W2952048844 hasConceptScore W2952048844C62611344 @default.
• W2952048844 hasConceptScore W2952048844C66938386 @default.
• W2952048844 hasFunder F4320332161 @default.
• W2952048844 hasIssue "1" @default.
• W2952048844 hasLocation W29520488441 @default.
• W2952048844 hasLocation W29520488442 @default.
• W2952048844 hasLocation W29520488443 @default.
• W2952048844 hasLocation W29520488444 @default.
• W2952048844 hasOpenAccess W2952048844 @default.
• W2952048844 hasPrimaryLocation W29520488441 @default.
• W2952048844 hasRelatedWork W1485627940 @default.
• W2952048844 hasRelatedWork W1742055567 @default.
• W2952048844 hasRelatedWork W2068185143 @default.
• W2952048844 hasRelatedWork W2329791227 @default.
• W2952048844 hasRelatedWork W2375382787 @default.
• W2952048844 hasRelatedWork W2383650581 @default.
• W2952048844 hasRelatedWork W2405379563 @default.
• W2952048844 hasRelatedWork W2962971816 @default.
• W2952048844 hasRelatedWork W3013959128 @default.
• W2952048844 hasRelatedWork W4225420309 @default.
• W2952048844 hasVolume "4" @default.
• W2952048844 isParatext "false" @default.
• W2952048844 isRetracted "false" @default.
• W2952048844 magId "2952048844" @default.
• W2952048844 workType "article" @default.