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Experimental studies can provide powerful insights into the physics of complex networks.
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How do diverse dynamical patterns arise from the topology of complex networks?
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Background: Feed-forward motifs are important functional modules in biological and other complex networks.
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Economies, like societies, are complex networks of direct and indirect relationships.
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In short, it let companies build extremely complex networks that exist only as software.
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Abrupt changes of behaviour in complex networks can be triggered by a single node.
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These findings are useful for practical purposes as well as for identifying protein-like complex networks.
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This approach is applied here to generalize the subgraph centrality of nodes in complex networks.
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Gastric lymph channels are multidirectional and form complex networks.
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We study the properties of complex networks embedded in a Euclidean space of communicability distances.
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Small-world properties have been demonstrated for many complex networks.
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Consequently, the communicability distance displays unique features for the analysis of complex networks in different scenarios.
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The nurse herself also functions within complex networks of interhuman relationships that affect the nursing dialogue.
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Studying biological systems is perhaps the best way to understand the complex networks that humanity has created.
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We believe that our system biological approach could be useful for identifying other complex networks mediating immunological responses.
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We have achieved these triumphs by building ever more complex networks that treat human beings as units of information.
