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Milo, R.; Itzkovitz, S.; Kashtan, N.; Levitt, R.; Alon, U. |
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Response to Comment on “Network Motifs: Simple Building Blocks of Complex Networks” and “Superfamilies of Evolved and Designed Networks” |
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2004 |
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Science |
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Science |
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305 |
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5687 |
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1107d |
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10.1126/science.1100519 |
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Equine Behaviour @ team @ |
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5031 |
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Milo, R.; Itzkovitz, S.; Kashtan, N.; Levitt, R.; Shen-Orr, S.; Ayzenshtat, I.; Sheffer, M.; Alon, U. |
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Superfamilies of Evolved and Designed Networks |
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Journal Article |
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2004 |
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Science |
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Science |
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303 |
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5663 |
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1538-1542 |
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Complex biological, technological, and sociological networks can be of very different sizes and connectivities, making it difficult to compare their structures. Here we present an approach to systematically study similarity in the local structure of networks, based on the significance profile (SP) of small subgraphs in the network compared to randomized networks. We find several superfamilies of previously unrelated networks with very similar SPs. One superfamily, including transcription networks of microorganisms, represents “rate-limited” information-processing networks strongly constrained by the response time of their components. A distinct superfamily includes protein signaling, developmental genetic networks, and neuronal wiring. Additional superfamilies include power grids, protein-structure networks and geometric networks, World Wide Web links and social networks, and word-adjacency networks from different languages. |
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10.1126/science.1089167 |
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Equine Behaviour @ team @ |
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5033 |
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Milo, R.; Shen-Orr, S.; Itzkovitz, S.; Kashtan, N.; Chklovskii, D.; Alon, U. |
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Network Motifs: Simple Building Blocks of Complex Networks |
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Journal Article |
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2002 |
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Science |
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Science |
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298 |
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5594 |
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824-827 |
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Complex networks are studied across many fields of science. To uncover their structural design principles, we defined “network motifs,” patterns of interconnections occurring in complex networks at numbers that are significantly higher than those in randomized networks. We found such motifs in networks from biochemistry, neurobiology, ecology, and engineering. The motifs shared by ecological food webs were distinct from the motifs shared by the genetic networks of Escherichia coli and Saccharomyces cerevisiae or from those found in the World Wide Web. Similar motifs were found in networks that perform information processing, even though they describe elements as different as biomolecules within a cell and synaptic connections between neurons in Caenorhabditis elegans. Motifs may thus define universal classes of networks. This approach may uncover the basic building blocks of most networks. |
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10.1126/science.298.5594.824 |
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Equine Behaviour @ team @ |
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5032 |
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Noy, L.; Dekel, E.; Alon, U. |
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Title |
The mirror game as a paradigm for studying the dynamics of two people improvising motion together |
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2011 |
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Proceedings of the National Academy of Sciences |
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Joint improvisation is the creative action of two or more people without a script or designated leader. Examples include improvisational theater and music, and day-to-day activities such as conversations. In joint improvisation, novel action is created, emerging from the interaction between people. Although central to creative processes and social interaction, joint improvisation remains largely unexplored due to the lack of experimental paradigms. Here we introduce a paradigm based on a theater practice called the mirror game. We measured the hand motions of two people mirroring each other at high temporal and spatial resolution. We focused on expert actors and musicians skilled in joint improvisation. We found that players can jointly create novel complex motion without a designated leader, synchronized to less than 40 ms. In contrast, we found that designating one player as leader deteriorated performance: The follower showed 2–3 Hz oscillation around the leader's smooth trajectory, decreasing synchrony and reducing the range of velocities reached. A mathematical model suggests a mechanism for these observations based on mutual agreement on future motion in mirrored reactive–predictive controllers. This is a step toward understanding the human ability to create novelty by improvising together. |
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10.1073/pnas.1108155108 |
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Equine Behaviour @ team @ |
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5493 |
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