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Dynamic network analysis (DNA) is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA), social simulation and multi-agent systems (MAS) within network science and network theory. Dynamic networks are a function of time (modeled as a subset of the real numbers) to a set of graphs; for each time…
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dynamic network networks dna analysis social nodes systems time space changes links temporal latent carley change kathleen simulation people statistical
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| textsDeveloping statistically valid measurements on networks over timeExamining the robustness of network metrics under various types of missing dataEmpirical studies of multi-mode multi-link multi-time period networksExamining networks as probabilistic time-variant phenomenaForecasting change in existing networksIdentifying trails through time given a sequence of networksIdentifying changes in node criticality given a sequence of networks anything else related to multi-mode multi-link multi-time period networksStudying random walks on temporal networksQuantifying structural properties of contact sequences in dynamic networks | instance of | decayDeveloping and validating formal models of network generation and evolutionDeveloping techniques to visualize network change overall or at the node or group levelDeveloping… | 0.80 | text |
| which influence dynamical processesAssessment of covert activity | instance of | decayDeveloping and validating formal models of network generation and evolutionDeveloping techniques to visualize network change overall or at the node or group levelDeveloping… | 0.80 | text |
| dark networksCitational analysisSocial media analysisAssessment of public health systemsAnalysis of hospital safety outcomesAssessment of the structure of ethnic violence from news dataAssessment of terror groupsOnline social decay of social interactionsModelling of classroom interactions in schools See alsoGraph dynamical systemInternational Network for Social Network AnalysisKathleen M | instance of | decayDeveloping and validating formal models of network generation and evolutionDeveloping techniques to visualize network change overall or at the node or group levelDeveloping… | 0.80 | text |
| Dynamic network analysis | related to Further reading | Kathleen | 0.60 | section |
| Dynamic network analysis | related to Further reading | Carley | 0.60 | section |
| Dynamic network analysis | related to Further reading | Dynamic Social Network Modeling | 0.60 | section |
| Dynamic network analysis | related to Further reading | Analysis | 0.60 | section |
| Dynamic network analysis | related to Further reading | Workshop Summary | 0.60 | section |
| Dynamic network analysis | related to Further reading | Papers | 0.60 | section |
| Dynamic network analysis | related to Further reading | Ronald Breiger | 0.60 | section |
| Dynamic network analysis | related to Further reading | Kathleen Carley | 0.60 | section |
| Dynamic network analysis | related to Further reading | Philippa Pattison | 0.60 | section |
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