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%%% ====================================================================
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%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "1.03",
%%%     date            = "14 October 2017",
%%%     time            = "10:23:40 MDT",
%%%     filename        = "lncs2009a.bib",
%%%                        University of Utah
%%%                        Department of Mathematics, 110 LCB
%%%                        155 S 1400 E RM 233
%%%                        Salt Lake City, UT 84112-0090
%%%                        USA",
%%%     telephone       = "+1 801 581 5254",
%%%     FAX             = "+1 801 581 4148",
%%%     URL             = "http://www.math.utah.edu/~beebe",
%%%     checksum        = "25946 458 2296 22098",
%%%     email           = "beebe at math.utah.edu, beebe at acm.org,
%%%                        beebe at computer.org (Internet)",
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%%%     keywords        = "BibTeX; bibliography; Lecture Notes in
%%%                        Computer Science",
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%%%     docstring       = "This is a bibliography of papers published in
%%%                        Lecture Notes in Computer Science
%%%                        (Springer-Verlag) for 2009.
%%%
%%%                        Bibliography entries below treat the series
%%%                        as a journal, rather than as conference
%%%                        proceedings.
%%%
%%%                        The companion bibliography lncs.bib lists
%%%                        just the individual volumes in the series,
%%%                        and the lncs19xy*.bib files list individual
%%%                        papers for year 19xy.  The large number of
%%%                        papers in this collection, and limitations
%%%                        in TeX and BibTeX, and in WWW HTTP transfer
%%%                        speeds, necessitate the splitting of the
%%%                        papers bibliographies into yearly files.
%%%
%%%                        At version 1.03, the year coverage looked
%%%                        like this:
%%%
%%%                             2009 (   9)
%%%
%%%                             InProceedings:    5
%%%                             Proceedings:      4
%%%
%%%                             Total entries:    9
%%%
%%%                        This bibliography has been constructed
%%%                        primarily from the publisher Web site.
%%%                        Regrettably, final page numbers are not
%%%                        available at that source.
%%%
%%%                        Numerous errors in the sources noted above
%%%                        have been corrected.  Spelling has been
%%%                        verified with the UNIX spell and GNU ispell
%%%                        programs using the exception dictionary
%%%                        stored in the companion file with extension
%%%                        .sok.
%%%
%%%                        BibTeX citation tags are uniformly chosen as
%%%                        name:year:abbrev, where name is the family
%%%                        name of the first author or editor, year is a
%%%                        4-digit number, and abbrev is a 3-letter
%%%                        condensation of important title words.
%%%                        Citation labels were automatically generated
%%%                        by software developed for the BibNet Project.
%%%
%%%                        In this bibliography, entries are sorted in
%%%                        publication order, with the help of ``bibsort
%%%                        -byvolume''.  The bibsort utility is available
%%%                        from ftp.math.utah.edu in /pub/tex/bib.
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%%% ====================================================================
%%% Acknowledgement abbreviations:

@String{ack-nhfb = "Nelson H. F. Beebe,
                    University of Utah,
                    Department of Mathematics, 110 LCB,
                    155 S 1400 E RM 233,
                    Salt Lake City, UT 84112-0090, USA,
                    Tel: +1 801 581 5254,
                    FAX: +1 801 581 4148,
                    e-mail: \path|beebe@math.utah.edu|,
                            \path|beebe@acm.org|,
                            \path|beebe@computer.org| (Internet),
                    URL: \path|http://www.math.utah.edu/~beebe/|"}

%%% ====================================================================
%%% Journal abbreviations:

@String{j-LECT-NOTES-COMP-SCI   = "Lecture Notes in Computer Science"}

%%% ====================================================================
%%% Publisher abbreviations:

@String{pub-SV                  = "Springer-Verlag Inc."}

@String{pub-SV:adr              = "New York, NY, USA"}

%%% ====================================================================
%%% Series abbreviations:

@String{ser-LNAI                = "Lecture Notes in Artificial Intelligence"}

@String{ser-LNCS                = "Lecture Notes in Computer Science"}

%%% ====================================================================
%%% Bibliography entries:

@InProceedings{Alam:2009:FPC,
  author =       "Md. Hijbul Alam and Jongwoo Ha and Sangkeun Lee",
  editor =       "Anonymous",
  booktitle =    "Proceedings of the 14th International Conference on
                 Database Systems for Advanced Applications",
  title =        "Fractional {PageRank} Crawler: Prioritizing {URLs}
                 Efficiently for Crawling Important Pages Early",
  volume =       "5463",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "590--594",
  year =         "2009",
  DOI =          "https://doi.org/10.1007/978-3-642-00887-0_52",
  ISBN =         "3-642-00886-0",
  ISBN-13 =      "978-3-642-00886-3",
  ISSN =         "0302-9743 (print), 1611-3349 (electronic)",
  LCCN =         "????",
  bibdate =      "Sat May 8 18:33:10 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/lncs2009a.bib",
  series =       ser-LNCS,
  abstract =     "Crawling important pages early is a well studied
                 problem. However, the availability of different types
                 of framework for publishing web content greatly
                 increases the number of web pages. Therefore, the
                 crawler should be fast enough to prioritize and
                 download the important pages. As the importance of a
                 page is not known before or during its download, the
                 crawler needs a great deal of time to approximate the
                 importance to prioritize the download of the web pages.
                 In this research, we propose Fractional PageRank
                 crawlers that prioritize the downloaded pages for the
                 purpose of discovering important URLs early during the
                 crawl. Our experiments demonstrate that they improve
                 the running time dramatically while crawling the
                 important pages early.",
  acknowledgement = ack-nhfb,
}

@InProceedings{Chen:2009:SNE,
  author =       "Wei Chen and Shang-Hua Teng and Yajun Wang and Yuan
                 Zhou",
  title =        "On the $ \alpha $-sensitivity of {Nash} equilibria in
                 {PageRank}-based network reputation games",
  crossref =     "Deng:2009:FAT",
  volume =       "5598",
  pages =        "63--73",
  year =         "2009",
  DOI =          "https://doi.org/10.1007/978-3-642-02270-8_9",
  ISBN =         "3-642-02269-3",
  ISBN-13 =      "978-3-642-02269-2",
  ISSN =         "0302-9743 (print), 1611-3349 (electronic)",
  LCCN =         "????",
  MRclass =      "68Wxx",
  bibdate =      "Sat May 8 18:33:10 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/lncs2009a.bib",
  series =       ser-LNCS,
  ZMnumber =     "05578464",
  abstract =     "Web search engines use link-based reputation systems
                 (e.g. PageRank) to measure the importance of web pages,
                 giving rise to the strategic manipulations of
                 hyperlinks by spammers and others to boost their web
                 pages' reputation scores. Hopcroft and Sheldon [10]
                 study this phenomenon by proposing a network formation
                 game in which nodes strategically select their outgoing
                 links in order to maximize their PageRank scores. They
                 pose an open question in [10] asking whether all Nash
                 equilibria in the PageRank game are insensitive to the
                 restart probability $ \alpha $ of the PageRank
                 algorithm. They show that a positive answer to the
                 question would imply that all Nash equilibria in the
                 PageRank game must satisfy some strong algebraic
                 symmetry, a property rarely satisfied by real web
                 graphs. In this paper, we give a negative answer to
                 this open question. We present a family of graphs that
                 are Nash equilibria in the PageRank game only for
                 certain choices of $ \alpha $.",
  acknowledgement = ack-nhfb,
}

@InProceedings{Chung:2009:LGP,
  author =       "Fan Chung",
  title =        "A Local Graph Partitioning Algorithm Using Heat Kernel
                 {PageRank}",
  crossref =     "Avrachenkov:2009:AMW",
  pages =        "62--75",
  year =         "2009",
  DOI =          "https://doi.org/10.1007/978-3-540-95995-3_6",
  ISBN =         "3-540-95994-7",
  ISBN-13 =      "978-3-540-95994-6",
  ISSN =         "0302-9743 (print), 1611-3349 (electronic)",
  LCCN =         "????",
  MRclass =      "68M10",
  bibdate =      "Sat May 8 18:33:04 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/lncs2009a.bib",
  series =       ser-LNCS,
  ZMnumber =     "05505865",
  abstract =     "We give an improved local partitioning algorithm using
                 heat kernel pagerank, a modified version of PageRank.
                 For a subset S with Cheeger ratio (or conductance) h,
                 we show that there are at least a quarter of the
                 vertices in S that can serve as seeds for heat kernel
                 pagerank which lead to local cuts with Cheeger ratio at
                 most {$ O(\sqrt {h}) $}, improving the previously bound
                 by a factor of {$ \sqrt {log|S|} $}.",
  acknowledgement = ack-nhfb,
}

@InProceedings{Jager:2009:PSH,
  author =       "Douglas V. Jager and Jeremy T. Bradley",
  editor =       "Anonymous",
  booktitle =    "Proceedings of the 2nd International Conference on
                 Theory of Information Retrieval: Advances in
                 Information Retrieval Theory",
  title =        "{PageRank}: Splitting Homogeneous Singular Linear
                 Systems of Index One",
  volume =       "5766",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "17--28",
  year =         "2009",
  DOI =          "https://doi.org/10.1007/978-3-642-04417-5_3",
  ISBN =         "3-642-04416-6",
  ISBN-13 =      "978-3-642-04416-8",
  ISSN =         "0302-9743 (print), 1611-3349 (electronic)",
  LCCN =         "????",
  bibdate =      "Sat May 8 18:33:09 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/lncs2009a.bib",
  series =       ser-LNCS,
  abstract =     "The PageRank algorithm is used today within web
                 information retrieval to provide a content-neutral
                 ranking metric over web pages. It employs power method
                 iterations to solve for the steady-state vector of a
                 DTMC. The defining one-step probability transition
                 matrix of this DTMC is derived from the hyperlink
                 structure of the web and a model of web surfing
                 behaviour which accounts for user bookmarks and
                 memorised URLs. \par

                 In this paper we look to provide a more accessible,
                 more broadly applicable explanation than has been given
                 in the literature of how to make PageRank calculation
                 more tractable through removal of the dangling-page
                 matrix. This allows web pages without outgoing links to
                 be removed before we employ power method iterations. It
                 also allows decomposition of the problem according to
                 irreducible subcomponents of the original transition
                 matrix. Our explanation also covers a PageRank
                 extension to accommodate TrustRank. In setting out our
                 alternative explanation, we introduce and apply a
                 general linear algebraic theorem which allows us to map
                 homogeneous singular linear systems of index one to
                 inhomogeneous non-singular linear systems with a shared
                 solution vector. As an aside, we show in this paper
                 that irreducibility is not required for PageRank to be
                 well-defined.",
  acknowledgement = ack-nhfb,
}

@InProceedings{Litvak:2009:CTD,
  author =       "Nelly Litvak and Werner Scheinhardt and Yana Volkovich
                 and Bert Zwart",
  title =        "Characterization of Tail Dependence for In-Degree and
                 {PageRank}",
  crossref =     "Avrachenkov:2009:AMW",
  pages =        "90--103",
  year =         "2009",
  DOI =          "https://doi.org/10.1007/978-3-540-95995-3_8",
  ISBN =         "3-540-95994-7",
  ISBN-13 =      "978-3-540-95994-6",
  ISSN =         "0302-9743 (print), 1611-3349 (electronic)",
  LCCN =         "????",
  bibdate =      "Sat May 8 18:33:10 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/lncs2009a.bib",
  series =       ser-LNCS,
  abstract =     "The dependencies between power law parameters such as
                 in-degree and PageRank, can be characterized by the
                 so-called angular measure, a notion used in extreme
                 value theory to describe the dependency between very
                 large values of coordinates of a random vector. Basing
                 on an analytical stochastic model, we argue that the
                 angular measure for in-degree and personalized PageRank
                 is concentrated in two points. This corresponds to the
                 two main factors for high ranking: large in-degree and
                 a high rank of one of the ancestors. Furthermore, we
                 can formally establish the relative importance of these
                 two factors.",
  acknowledgement = ack-nhfb,
  keywords =     "Multivariate extremes; PageRank; Power law graphs;
                 Regular variation",
}

%%% ====================================================================
%%% Cross-referenced entries must come last; they are sorted in volume
%%% order with ``bibsort --byseriesvolume'':

@Proceedings{Avrachenkov:2009:AMW,
  editor =       "Konstantin E. Avrachenkov and Debora Donato and Nelly
                 Litvak",
  booktitle =    "{Algorithms and models for the web-graph: 6th
                 international workshop, WAW 2009 Barcelona, Spain,
                 February 12--13, 2009 proceedings}",
  title =        "{Algorithms and models for the web-graph: 6th
                 international workshop, WAW 2009 Barcelona, Spain,
                 February 12--13, 2009 proceedings}",
  volume =       "5427",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "x + 183",
  year =         "2009",
  ISBN =         "3-540-95995-5, 3-540-95994-7 (softcover)",
  ISBN-13 =      "978-3-540-95995-3, 978-3-540-95994-6 (softcover)",
  ISSN =         "0302-9743 (print), 1611-3349 (electronic)",
  LCCN =         "QA76.9.A43 W39 2009",
  bibdate =      "Thu May 6 17:32:37 MDT 2010",
  bibsource =    "felix.us.ohio-state.edu:210/INNOPAC;
                 z3950.loc.gov:7090/Voyager",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/lncs2009a.bib",
  series =       ser-LNCS,
  acknowledgement = ack-nhfb,
}

@Proceedings{Allen:2009:CSIa,
  editor =       "Gabrielle Allen and Jaros{\l}aw Nabrzyski and Edward
                 Seidel and Geert Dick van Albada and Jack Dongarra and
                 Peter M. A. Sloot",
  booktitle =    "{Computational science -- ICCS 2009. 9th international
                 conference Baton Rouge, LA, USA, May 25--27, 2009.
                 Proceedings, Part I}",
  title =        "{Computational science -- ICCS 2009. 9th international
                 conference Baton Rouge, LA, USA, May 25--27, 2009.
                 Proceedings, Part I}",
  volume =       "5544",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  year =         "2009",
  DOI =          "https://doi.org/10.1007/978-3-642-01970-8",
  bibdate =      "Sat Sep 4 17:11:27 2010",
  bibsource =    "ftp://ftp.math.utah.edu/pub/bibnet/authors/d/dongarra-jack-j.bib",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/lncs2009a.bib",
  series =       ser-LNCS,
  ZMnumber =     "1162.68300",
  acknowledgement = ack-nhfb,
  classmath =    "{*68-06 (Proceedings of conferences (computer
                 science)) 00B25 (Proceedings of conferences of
                 miscellaneous specific interest) }",
  remark =       "For the preceding conference see Zbl 1139.68300, Zbl
                 1139.68301 and Zbl 1139.68302. For Part II of the
                 proceedings of ICCS 2009 see Zbl 1162.68302.",
}

@Proceedings{Allen:2009:CSIb,
  editor =       "Gabrielle Allen and Jaros{\l}aw Nabrzyski and Edward
                 Seidel and Geert Dick van Albada and Jack Dongarra and
                 Peter M. A. Sloot",
  booktitle =    "{Computational science -- ICCS 2009. 9th international
                 conference Baton Rouge, LA, USA, May 25--27, 2009.
                 Proceedings, Part II}",
  title =        "{Computational science -- ICCS 2009. 9th international
                 conference Baton Rouge, LA, USA, May 25--27, 2009.
                 Proceedings, Part II}",
  volume =       "5545",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxxvii + 921",
  year =         "2009",
  DOI =          "https://doi.org/10.1007/978-3-642-01973-9",
  bibdate =      "Sat Sep 4 17:11:30 2010",
  bibsource =    "ftp://ftp.math.utah.edu/pub/bibnet/authors/d/dongarra-jack-j.bib",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/lncs2009a.bib",
  series =       ser-LNCS,
  ZMnumber =     "1162.68302",
  acknowledgement = ack-nhfb,
  classmath =    "*68-06 (Proceedings of conferences (computer science))
                 00B25 (Proceedings of conferences of miscellaneous
                 specific interest)",
  remark =       "For the preceding conference see Zbl 1139.68300, Zbl
                 1139.68301 and Zbl 1139.68302. For Part II of the
                 proceedings of ICCS 2009 see Zbl 1162.68301.",
}

@Proceedings{Deng:2009:FAT,
  editor =       "Xiaotie Deng and John E. Hopcroft and Jinyun Xue",
  booktitle =    "{Frontiers in algorithmics. Third international
                 workshop, FAW 2009, Hefei, China, June 20--23, 2009.
                 Proceedings}",
  title =        "{Frontiers in algorithmics. Third international
                 workshop, FAW 2009, Hefei, China, June 20--23, 2009.
                 Proceedings}",
  volume =       "5598",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xiv + 372",
  year =         "2009",
  DOI =          "https://doi.org/10.1007/978-3-642-02270-8",
  ISBN =         "3-642-02270-7, 3-642-02269-3",
  ISBN-13 =      "978-3-642-02270-8, 978-3-642-02269-2",
  ISSN =         "0302-9743 (print), 1611-3349 (electronic)",
  LCCN =         "QA76.9.A43 F39 2009",
  bibdate =      "Thu May 6 11:19:59 MDT 2010",
  bibsource =    "z3950.gbv.de:20011/gvk",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/lncs2009a.bib",
  series =       ser-LNCS,
  URL =          "http://www.springerlink.com/content/p1040n9jt618;
                 http://www.zentralblatt-math.org/zmath/en/search/?an=1166.68003",
  acknowledgement = ack-nhfb,
  subject =      "algorithms; computational complexity; computer
                 communication networks; computer science; computer
                 software; data mining; software engineering",
  xxeditor =     "David Hutchison and Bernhard Steffen and Doug Tygar
                 and Takeo Kanade and Josef Kittler and Jon M. Kleinberg
                 and Friedemann Mattern and John C. Mitchell and Jinyun
                 Xue and Oscar Nierstrasz and Madhu Sudan and John E.
                 Hopcroft and Xiaotie Deng and Gerhard Weikum and Moshe
                 Y. Vardi and C. {Pandu Rangan} and Demetri Terzopoulos
                 and Moni Nao",
}