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  • 1
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    Small but slow world: How network topology and burstiness slow down spreading (2011)
    American Physical Society (APS)
    Details
    Publication Date: 2011-02-20
    Description: Author(s): M. Karsai, M. Kivelä, R. K. Pan, K. Kaski, J. Kertész, A.-L. Barabási, and J. Saramäki While communication networks show the small-world property of short paths, the spreading dynamics in them turns out slow. Here, the time evolution of information propagation is followed through communication networks by using empirical data on contact sequences and the susceptible-infected model. In... [Phys. Rev. E 83, 025102] Published Fri Feb 18, 2011
    Keywords: Interdisciplinary physics
    Print ISSN: 1539-3755
    Electronic ISSN: 1550-2376
    Topics: Physics
    Published by American Physical Society (APS)
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  • 2
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    Emergence of scaling in random networks (1999)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1999-10-16
    Description: Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barabasi -- Albert -- New York, N.Y. -- Science. 1999 Oct 15;286(5439):509-12.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, University of Notre Dame, Notre Dame, IN 46556, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10521342" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 3
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    Systems biology. Life's complexity pyramid (2002)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2002-10-26
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Oltvai, Zoltan N -- Barabasi, Albert-Laszlo -- New York, N.Y. -- Science. 2002 Oct 25;298(5594):763-4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology, Northwestern University, Chicago, IL 60611, USA. zno008@nwu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12399572" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; *Cell Physiological Phenomena ; Escherichia coli/genetics/metabolism/physiology ; Genes, Fungal ; *Genome ; *Metabolism ; Promoter Regions, Genetic ; Proteins/metabolism ; *Proteome ; Saccharomyces cerevisiae/genetics/metabolism/*physiology ; Saccharomyces cerevisiae Proteins/metabolism ; Transcription Factors/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 4
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    Hierarchical organization of modularity in metabolic networks (2002)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2002-08-31
    Description: Spatially or chemically isolated functional modules composed of several cellular components and carrying discrete functions are considered fundamental building blocks of cellular organization, but their presence in highly integrated biochemical networks lacks quantitative support. Here, we show that the metabolic networks of 43 distinct organisms are organized into many small, highly connected topologic modules that combine in a hierarchical manner into larger, less cohesive units, with their number and degree of clustering following a power law. Within Escherichia coli, the uncovered hierarchical modularity closely overlaps with known metabolic functions. The identified network architecture may be generic to system-level cellular organization.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ravasz, E -- Somera, A L -- Mongru, D A -- Oltvai, Z N -- Barabasi, A L -- New York, N.Y. -- Science. 2002 Aug 30;297(5586):1551-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, University of Notre Dame, Notre Dame, IN 46556, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12202830" target="_blank"〉PubMed〈/a〉
    Keywords: Escherichia coli/metabolism ; *Metabolism ; *Models, Biological ; Systems Theory
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 5
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    Understanding individual human mobility patterns (2008)
    Nature Publishing Group (NPG)
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    Publication Date: 2008-06-06
    Description: Despite their importance for urban planning, traffic forecasting and the spread of biological and mobile viruses, our understanding of the basic laws governing human motion remains limited owing to the lack of tools to monitor the time-resolved location of individuals. Here we study the trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period. We find that, in contrast with the random trajectories predicted by the prevailing Levy flight and random walk models, human trajectories show a high degree of temporal and spatial regularity, each individual being characterized by a time-independent characteristic travel distance and a significant probability to return to a few highly frequented locations. After correcting for differences in travel distances and the inherent anisotropy of each trajectory, the individual travel patterns collapse into a single spatial probability distribution, indicating that, despite the diversity of their travel history, humans follow simple reproducible patterns. This inherent similarity in travel patterns could impact all phenomena driven by human mobility, from epidemic prevention to emergency response, urban planning and agent-based modelling.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gonzalez, Marta C -- Hidalgo, Cesar A -- Barabasi, Albert-Laszlo -- England -- Nature. 2008 Jun 5;453(7196):779-82. doi: 10.1038/nature06958.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Complex Network Research and Department of Physics, Biology and Computer Science, Northeastern University, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18528393" target="_blank"〉PubMed〈/a〉
    Keywords: Cell Phones/*statistics & numerical data ; Disaster Planning ; Geographic Information Systems ; Humans ; *Locomotion ; Models, Statistical ; Probability ; Travel/*statistics & numerical data
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 6
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    Network science: Destruction perfected (2015)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2015-08-08
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kovacs, Istvan A -- Barabasi, Albert-Laszlo -- England -- Nature. 2015 Aug 6;524(7563):38-9. doi: 10.1038/524038a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Complex Network Research and in the Department of Physics, Northeastern University, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26245576" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 7
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    The product space conditions the development of nations (2007)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2007-07-28
    Description: Economies grow by upgrading the products they produce and export. The technology, capital, institutions, and skills needed to make newer products are more easily adapted from some products than from others. Here, we study this network of relatedness between products, or "product space," finding that more-sophisticated products are located in a densely connected core whereas less-sophisticated products occupy a less-connected periphery. Empirically, countries move through the product space by developing goods close to those they currently produce. Most countries can reach the core only by traversing empirically infrequent distances, which may help explain why poor countries have trouble developing more competitive exports and fail to converge to the income levels of rich countries.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hidalgo, C A -- Klinger, B -- Barabasi, A-L -- Hausmann, R -- New York, N.Y. -- Science. 2007 Jul 27;317(5837):482-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Complex Network Research and Department of Physics, University of Notre Dame, Notre Dame, IN 46556, USA. chidalgo@nd.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17656717" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 8
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    Understanding the spreading patterns of mobile phone viruses (2009)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2009-04-04
    Description: We modeled the mobility of mobile phone users in order to study the fundamental spreading patterns that characterize a mobile virus outbreak. We find that although Bluetooth viruses can reach all susceptible handsets with time, they spread slowly because of human mobility, offering ample opportunities to deploy antiviral software. In contrast, viruses using multimedia messaging services could infect all users in hours, but currently a phase transition on the underlying call graph limits them to only a small fraction of the susceptible users. These results explain the lack of a major mobile virus breakout so far and predict that once a mobile operating system's market share reaches the phase transition point, viruses will pose a serious threat to mobile communications.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Pu -- Gonzalez, Marta C -- Hidalgo, Cesar A -- Barabasi, Albert-Laszlo -- New York, N.Y. -- Science. 2009 May 22;324(5930):1071-6. doi: 10.1126/science.1167053. Epub 2009 Apr 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Complex Network Research, Departments of Physics, Biology, and Computer Science, Northeastern University, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19342553" target="_blank"〉PubMed〈/a〉
    Keywords: *Cell Phones ; *Computer Security ; Humans ; Time Factors
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 9
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    Scale-free networks: a decade and beyond (2009)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2009-07-25
    Description: For decades, we tacitly assumed that the components of such complex systems as the cell, the society, or the Internet are randomly wired together. In the past decade, an avalanche of research has shown that many real networks, independent of their age, function, and scope, converge to similar architectures, a universality that allowed researchers from different disciplines to embrace network theory as a common paradigm. The decade-old discovery of scale-free networks was one of those events that had helped catalyze the emergence of network science, a new research field with its distinct set of challenges and accomplishments.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barabasi, Albert-Laszlo -- New York, N.Y. -- Science. 2009 Jul 24;325(5939):412-3. doi: 10.1126/science.1173299.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Complex Network Research, Department of Physics, Biology, and Computer Science, Northeastern University, Boston, MA 02115, USA. alb@neu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19628854" target="_blank"〉PubMed〈/a〉
    Keywords: Models, Theoretical ; *Systems Theory
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 10
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    Quantifying long-term scientific impact (2013)
    American Association for the Advancement of Science (AAAS)
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    Publication Date: 2013-10-05
    Description: The lack of predictability of citation-based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: Is there long-term predictability in citation patterns? Here, we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers tend to follow the same universal temporal pattern. The observed patterns not only help us uncover basic mechanisms that govern scientific impact but also offer reliable measures of influence that may have potential policy implications.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Dashun -- Song, Chaoming -- Barabasi, Albert-Laszlo -- New York, N.Y. -- Science. 2013 Oct 4;342(6154):127-32. doi: 10.1126/science.1237825.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Complex Network Research, Department of Physics, Northeastern University, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24092745" target="_blank"〉PubMed〈/a〉
    Keywords: *Journal Impact Factor ; *Models, Theoretical
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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