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Record Nr. |
UNINA9910460270503321 |
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Autore |
Kamvar Sep <1977-> |
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Titolo |
Numerical algorithms for personalized search in self-organizing information networks [[electronic resource] /] / Sep Kamvar |
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Pubbl/distr/stampa |
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Princeton, N.J., : Princeton University Press, 2010 |
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ISBN |
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1-282-66584-7 |
9786612665844 |
1-4008-3706-5 |
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Edizione |
[Course Book] |
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Descrizione fisica |
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1 online resource (295 p.) |
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Disciplina |
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Soggetti |
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Database searching - Mathematics |
Information networks - Mathematics |
Content analysis (Communication) - Mathematics |
Self-organizing systems - Data processing |
Algorithms |
Internet searching - Mathematics |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Frontmatter -- Contents -- Tables -- Figures -- Acknowledgments -- Chapter One. Introduction -- PART I. World Wide Web -- Chapter Two. PageRank -- Chapter Three. The Second Eigenvalue of the Google Matrix -- Chapter Four. The Condition Number of the PageRank Problem -- Chapter Five. Extrapolation Algorithms -- Chapter Six. Adaptive PageRank -- Chapter Seven. BlockRank -- PART II. P2P Networks -- Chapter Eight. Query-Cycle Simulator -- Chapter Nine. Eigen Trust -- Chapter Ten. Adaptive P2P Topologies -- Chapter Eleven. Conclusion -- Bibliography |
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Sommario/riassunto |
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This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks. Representing much of the foundational research in this field, the book develops scalable algorithms that exploit the graphlike properties underlying personalized search and reputation management, |
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and delves into realistic scenarios regarding Web-scale data. Sep Kamvar focuses on eigenvector-based techniques in Web search, introducing a personalized variant of Google's PageRank algorithm, and he outlines algorithms--such as the now-famous quadratic extrapolation technique--that speed up computation, making personalized PageRank feasible. Kamvar suggests that Power Method-related techniques ultimately should be the basis for improving the PageRank algorithm, and he presents algorithms that exploit the convergence behavior of individual components of the PageRank vector. Kamvar then extends the ideas of reputation management and personalized search to distributed networks like peer-to-peer and social networks. He highlights locality and computational considerations related to the structure of the network, and considers such unique issues as malicious peers. He describes the EigenTrust algorithm and applies various PageRank concepts to P2P settings. Discussion chapters summarizing results conclude the book's two main sections. Clear and thorough, this book provides an authoritative look at central innovations in search for all of those interested in the subject. |
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2. |
Record Nr. |
UNINA9910826031203321 |
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Autore |
Ivie Robert L. |
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Titolo |
Hunt the Devil : a demonology of US war culture / / Robert L. Ivie and Oscar Giner |
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Pubbl/distr/stampa |
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Tuscaloosa, Alabama : , : The University Alabama Press, , 2015 |
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©2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (208 p.) |
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Classificazione |
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LAN004000POL031000HIS036000 |
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Disciplina |
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Soggetti |
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Demonology - United States |
Tricksters |
Imagery (Psychology) |
War and society - United States |
Rhetoric - Political aspects - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; Acknowledgments; Introduction; 1. Evildoers; 2. Witches; 3. Indians; 4. Dictators; 5. Reds; 6. Tricksters; Conclusion; Notes; Selected Bibliography; Index |
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Sommario/riassunto |
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"A critical study of the demonic imagery that has been persistently embedded and codified in America's war culture. The authors examine "the devil myth" in both its past and present iterations and also highlight the counter-myth of the "trickster figure" whose democratic impulses have occasionally succeeded in countering the impulse towards demonization. To unveil the devil myth, the authors identify outward projections of evil onto the faces of America's enemies. They begin by scrutinizing the image of evildoers used to justify the global war on terror. It is difficult, they observe, to recognize this literalized image as a rhetorical construction subject to critical reflection without revisiting earlier manifestations of the devil myth in American history. Mythical projection is a cyclical process of political culture, they argue. Traces of earlier iterations of the devil myth carry into the present, but enemies are demonized anew in distinctive ways at each historical juncture of national crisis. To illustrate this process, the book includes |
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chapters on demonized figures preceding the war on terror: witches, Indians, dictators, and reds. Each chapter shows how these emotionally loaded symbols have functioned as apparitions of dark foes that must be destroyed to redeem the nation's innocence. In this way, the book reveals how the subliminal figure of the devil haunts U.S. political culture so that war symbolically wards off evil in defense of, but at the cost of curtailing, its democratic soul. One of the study's underlying questions is how the nation can make peace with diversity instead of condemning it as a dark foe carrying the mark of evil. The book works toward an answer by discussing the creative and critical role of the democratic trickster"-- |
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