Social-network analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Read the full entry →Research Wiki · Methods Lab
Network and diffusion analysis
Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads.
Methods family
Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads.
Use methods only after defining the estimand, data structure, assumptions, validation plan and decision consequence.
Graph theory is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Centrality analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Read the full entry →Degree centrality is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Betweenness centrality is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Closeness centrality is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Eigenvector centrality is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →PageRank is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Community detection is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Network density is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Homophily analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Structural holes is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Brokerage analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Ego-network analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Two-mode networks is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Bipartite networks is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Dynamic networks is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Diffusion models is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Independent cascade models is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Linear-threshold models is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Information cascades is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Contagion models is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Bass diffusion is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Agent-based modelling simulates individual agents with rules and interactions to study emergent system behaviour. It is useful for scenarios and mechanisms, but calibration and validation are demanding.
Read the full entry →Influence propagation is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Viral-coefficient modelling is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Social multiplier effects is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Browse linked method entries
Social-network analysis
Social-network analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodGraph theory
Graph theory is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodCentrality analysis
Centrality analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodDegree centrality
Degree centrality is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodBetweenness centrality
Betweenness centrality is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodCloseness centrality
Closeness centrality is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodEigenvector centrality
Eigenvector centrality is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPageRank
PageRank is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodCommunity detection
Community detection is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodNetwork density
Network density is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodHomophily analysis
Homophily analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodStructural holes
Structural holes is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodBrokerage analysis
Brokerage analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodEgo-network analysis
Ego-network analysis is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodTwo-mode networks
Two-mode networks is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodBipartite networks
Bipartite networks is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodDynamic networks
Dynamic networks is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodDiffusion models
Diffusion models is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodIndependent cascade models
Independent cascade models is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodLinear-threshold models
Linear-threshold models is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodInformation cascades
Information cascades is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodContagion models
Contagion models is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodBass diffusion
Bass diffusion is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodAgent-based modelling
Agent-based modelling simulates individual agents with rules and interactions to study emergent system behaviour. It is useful for scenarios and mechanisms, but calibration and validation are demanding.
Open methodInfluence propagation
Influence propagation is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodViral-coefficient modelling
Viral-coefficient modelling is a method within network and diffusion analysis. Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodSocial multiplier effects
Social multiplier effects is a statistical or analytical concept within network and diffusion analysis. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodNo entries match this search.