Results 41 to 50 of about 3,130,788 (278)

Publisher Correction: Network-based prediction of drug combinations

Nature Communications, 2019
The original version of this Article contained an error in Acknowledgements, which incorrectly omitted the following: ‘This work was also supported by NHLBI grant P01HL132825 to A.-L.B.’ This has been corrected in both the PDF and HTML versions of the ...
Feixiong Cheng, István A. Kovács, Albert-László Barabási   +2 more
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Principled approach to the selection of the embedding dimension of networks

Nature Communications, 2021
Network embedding is a machine learning technique for construction of low-dimensional representations of large networks. Gu et al. propose a method for the identification of an optimal embedding dimension for the encoding of network structural ...
Weiwei Gu, Aditya Tandon, Yong-Yeol Ahn, Filippo Radicchi   +3 more
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Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers

Brain Sciences, 2021
Alcohol consumption is now common practice worldwide, and functional brain networks are beginning to reveal the complex interactions observed with alcohol consumption and abstinence.
Hope Peterson, Rhiannon E. Mayhugh, Mohsen Bahrami, Walter Jack Rejeski, Sean L. Simpson, Keri Heilman, Stephen W. Porges, Paul J. Laurienti   +7 more
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Multi-dimensional geometric complexity in urban transportation systems

Journal of Transport and Land Use, 2017
Transportation networks serve as windows into the complex world of urban systems. By properly characterizing a road network, one can better understand its encompassing urban system.
Farideddin Peiravian, Sybil Derrible
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Growth-coupled anaerobic production of isobutanol from glucose in minimal medium with Escherichia coli

Biotechnology for Biofuels and Bioproducts, 2023
Background The microbial production of isobutanol holds promise to become a sustainable alternative to fossil-based synthesis routes for this important chemical. Escherichia coli has been considered as one production host, however, due to redox imbalance,
Simon Boecker, Peter Schulze, Steffen Klamt   +2 more
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Clustering in Complex Directed Networks [PDF]

, 2006
Many empirical networks display an inherent tendency to cluster, i.e. to form circles of connected nodes. This feature is typically measured by the clustering coefficient (CC).
B. Bollobás, B. Zhang, D. Watts, G. Fagiolo, G. Szabó, Giorgio Fagiolo, J. Scott, K. Gleditsch, S. Dorogovtsev, S. Wasserman   +9 more
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Opinion manipulation on Farsi Twitter

Scientific Reports, 2023
For Iranians and the Iranian diaspora, the Farsi Twittersphere provides an important alternative to state media and an outlet for political discourse. But this understudied online space has become an opinion manipulation battleground, with diverse actors
Amirhossein Farzam, Parham Moradi, Saeedeh Mohammadi, Zahra Padar, Alexandra A. Siegel   +4 more
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Statistical mechanics of complex networks [PDF]

, 2001
Complex networks describe a wide range of systems in nature and society, much quoted examples including the cell, a network of chemicals linked by chemical reactions, or the Internet, a network of routers and computers connected by physical links.
Adamic, L. A., Adamic, L. A., Adamic, L. A., Albert, R., Albert, R., Albert, R., Albert, R., Albert-László Barabási, Aldous, D., Amaral, L. A. N., Ambjorn, J., Argollo de Menezes, M., Banavar, J. R., Banavar, J. R., Banavar, J. R., Barabási, A.-L., Barabási, A.-L., Barrat, A., Barthélémy, M., Barthélémy, M., Bianconi, G., Bianconi, G., Bianconi, G., Bianconi, G., Bilke, S., Bollobás, B., Bollobás, B., Bornholdt, S., Bornholdt, S., Broder, A., Burda, Z., Burton, R. M., Caldarelli, G., Callaway, D. S., Callaway, D. S., Carlson, J. M., Carlson, J. M., Christensen, K., Chung, F., Cohen, J. E., Cohen, R., Cohen, R., Coleman, J. S., Comellas, F., Crovella, M. E., Derrida, B., Dodds, P. S., Dodds, P. S., Dodds, P. S., Dodds, P. S., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Doyle, J., Durrett, R. T., Duxbury, P. M., Elowitz, M. B., Enquist, B. J., Enquist, B. J., Erdős, P., Erdős, P., Erdős, P., Faloutsos, M., Farkas, I. J., Fell, D. A., Gardner, T. S., Gleiss, P. M., Goh, K.-I., Granovetter, M. S., Guhr, T., Guimerà, R., Hammersley, J. M., Hara, T., Hartwell, L. H., Havlin, S., Hohenberg, P. C., Hubermann, B. A., Jain, S., Jeong, H., Jeong, H., Jespersen, S., Johansen, A., Keeling, M. J., Kleinberg, J. M., Kolchin, V. F., Krapivsky, P. L., Krapivsky, P. L., Krapivsky, P. L., Kulkarni, R. V., Kullmann, L., Kuperman, M., Lago-Fernández, L. F., Lawrence, S., Lawrence, S., Leath, P. L., Liljeros, F., Lotka, A. J., Luczak, T., Lässig, M., Margulis, G. A., Medina, A., Milgram, S., Molloy, M., Molloy, M., Monasson, R., Moore, C., Moore, C., Moore, E. F., Moore, E. F., Moukarzel, C., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Pandit, S. A., Pastor-Satorras, R., Rapoport, A., Redner, S., Réka Albert, Savageau, M. A., Scala, A., Schilling, C. H., Simon, H. A., Slanina, F., Slanina, F., Solomonoff, R., Solé, R. V., Solé, R. V., Strogatz, S. H., Tadić, B., Vogelstein, B., Watts, D. J., Weigt, M., West, G. B., Wigner, E. P., Wigner, E. P., Wigner, E. P., Willinger, W., Yook, S.   +149 more
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Evidential Communities for Complex Networks [PDF]

, 2014
Community detection is of great importance for understand-ing graph structure in social networks. The communities in real-world networks are often overlapped, i.e. some nodes may be a member of multiple clusters.
G. Palla, L.D.F. Costa, M. Girvan, M.H. Masson, P. Smets, S. Fortunato, S. Zhang, T. Denœux, T. Havens, X. Wang   +9 more
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Integrating personalized gene expression profiles into predictive disease-associated gene pools

npj Systems Biology and Applications, 2017
Molecular Medicine: Personalized expression profiles elucidate disease heterogeneity A comparison of gene expression profiles of different patients with the same disease reveals a combinatorial model for disease heterogeneity. A framework is developed to
Jörg Menche, Emre Guney, Amitabh Sharma, Patrick J. Branigan, Matthew J. Loza, Frédéric Baribaud, Radu Dobrin, Albert-László Barabási   +7 more
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