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Linked network in statistics is a network, which is composed of , where the nodes from different one-node networks are connected through . This means, that "linked networks are collections of networks defined on different sets of nodes", where all sets of nodes must be connected to each other. Different examples of linked networks are: * , * (networks, measured at several different points in time), * dynamic multilevel networks, measured at several different points in time, * meta-networks, based on the model.

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  • Linked network in statistics is a network, which is composed of , where the nodes from different one-node networks are connected through . This means, that "linked networks are collections of networks defined on different sets of nodes", where all sets of nodes must be connected to each other. Different examples of linked networks are: * , * (networks, measured at several different points in time), * dynamic multilevel networks, measured at several different points in time, * meta-networks, based on the model. (en)
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  • Linked network in statistics is a network, which is composed of , where the nodes from different one-node networks are connected through . This means, that "linked networks are collections of networks defined on different sets of nodes", where all sets of nodes must be connected to each other. Different examples of linked networks are: * , * (networks, measured at several different points in time), * dynamic multilevel networks, measured at several different points in time, * meta-networks, based on the model. (en)
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  • Linked network (en)
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