@book{mitchell2010machine, address = {New York, NY [u.a.}, author = {Mitchell, Tom M.}, interhash = {8be657b11d4324941ba419c176c0229a}, intrahash = {adfebd1b18f04021ba0edd69ccaa3d96}, isbn = {0071154671 9780071154673}, publisher = {McGraw-Hill}, refid = {846511832}, title = {Machine learning}, url = {http://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/0070428077}, year = 2010 } @article{gyongyi2004combating, author = {Gyöngyi, Zoltán and Garcia molina, Hector and Pedersen, Jan}, interhash = {428bfe5366151d07a234864481364e60}, intrahash = {cb480eab1c421d316fb8cb83f9688af3}, pages = {576--587}, title = {Combating web spam with trustrank}, url = {http://citeseer.uark.edu:8080/citeseerx/viewdoc/summary?doi=10.1.1.122.8129}, year = 2004 } @article{10.1371/journal.pone.0028770, abstract = {

Assessing an individual's research impact on the basis of a transparent algorithm is an important task for evaluation and comparison purposes. Besides simple but also inaccurate indices such as counting the mere number of publications or the accumulation of overall citations, and highly complex but also overwhelming full-range publication lists in their raw format, Hirsch (2005) introduced a single figure cleverly combining different approaches. The so-called h-index has undoubtedly become the standard in scientometrics of individuals' research impact (note: in the present paper I will always use the term “research impact” to describe the research performance as the logic of the paper is based on the h-index, which quantifies the specific “impact” of, e.g., researchers, but also because the genuine meaning of impact refers to quality as well). As the h-index reflects the number h of papers a researcher has published with at least h citations, the index is inherently positively biased towards senior level researchers. This might sometimes be problematic when predictive tools are needed for assessing young scientists' potential, especially when recruiting early career positions or equipping young scientists' labs. To be compatible with the standard h-index, the proposed index integrates the scientist's research age (Carbon_h-factor) into the h-index, thus reporting the average gain of h-index per year. Comprehensive calculations of the Carbon_h-factor were made for a broad variety of four research-disciplines (economics, neuroscience, physics and psychology) and for researchers performing on three high levels of research impact (substantial, outstanding and epochal) with ten researchers per category. For all research areas and output levels we obtained linear developments of the h-index demonstrating the validity of predicting one's later impact in terms of research impact already at an early stage of their career with the Carbon_h-factor being approx. 0.4, 0.8, and 1.5 for substantial, outstanding and epochal researchers, respectively.

}, author = {Carbon, Claus-Christian}, doi = {10.1371/journal.pone.0028770}, interhash = {81b787bdddb3eacab3317a4049676625}, intrahash = {343bc0b1ba3aa6b117e6cba518f86703}, journal = {PLoS ONE}, month = {12}, number = 12, pages = {e28770}, publisher = {Public Library of Science}, title = {The Carbon_h-Factor: Predicting Individuals' Research Impact at Early Stages of Their Career}, url = {http://dx.doi.org/10.1371%2Fjournal.pone.0028770}, volume = 6, year = 2011 } @article{lerch2010datenschutz, author = {Lerch, Hana and Krause, Beate and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, interhash = {bbe328f35326b84db30c14648c176384}, intrahash = {fc44b1bdc724bbda45d08e35cba8b0ec}, journal = {MultiMedia und Recht}, pages = {454-458}, title = {Social Bookmarking-Systeme – die unerkannten Datensammler - Ungewollte personenbezogene Datenverabeitung?}, volume = 7, year = 2010 } @article{springerlink:10.1007/s00287-010-0485-8, abstract = {Soziale Tagging-Systeme gehören zu den in den vergangenen Jahren entstandenen Web2.0-Systemen. Sie ermöglichen es Anwendern, beliebige Informationen in das Internet einzustellen und untereinander auszutauschen. Je nach Anbieter verlinken Nutzer Videos, Fotos oder Webseiten und beschreiben die eingestellten Medien mit entsprechenden Schlagwörtern (Tags). Die damit einhergehende freiwillige Preisgabe oftmals persönlicher Informationen wirft Fragen im Bereich der informationellen Selbstbestimmung auf. Dieses Grundrecht gewährleistet dem Einzelnen, grundsätzlich selbst über die Preisgabe und Verwendung seiner persönlichen Daten zu bestimmen. Für viele Funktionalitäten, wie beispielsweise Empfehlungsdienste oder die Bereitstellung einer API, ist eine solche Kontrolle allerdings schwierig zu gestalten. Oftmals existieren keine Richtlinien, inwieweit Dienstanbieter und weitere Dritte diese öffentlichen Daten (und weitere Daten, die bei der Nutzung des Systems anfallen) nutzen dürfen. Dieser Artikel diskutiert anhand eines konkreten Systems typische, für den Datenschutz relevante Funktionalitäten und gibt Handlungsanweisungen für eine datenschutzkonforme technische Gestaltung.}, address = {Berlin / Heidelberg}, affiliation = {Fachgebiet Wissensverarbeitung, Universität Kassel, Kassel, Deutschland}, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, doi = {10.1007/s00287-010-0485-8}, interhash = {dc30e162dbb8700abdde78f86037cf2e}, intrahash = {69f3738deecd73594907183aa874ec1a}, issn = {0170-6012}, journal = {Informatik-Spektrum}, keyword = {Computer Science}, pages = {1-12}, publisher = {Springer}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy}, url = {http://dx.doi.org/10.1007/s00287-010-0485-8}, year = 2010 } @article{campanario1996referees, acmid = {235908}, address = {New York, NY, USA}, author = {Campanario, Juan Miguel}, doi = {10.1002/(SICI)1097-4571(199604)47:4<302::AID-ASI6>3.0.CO;2-0}, interhash = {48043c3c836c850064810bdcc012b274}, intrahash = {b6c868afbf6c28fffc1a9f0f7e8d8269}, issn = {0002-8231}, journal = {J. Am. Soc. Inf. Sci.}, month = {April}, number = 4, numpages = {9}, pages = {302--310}, publisher = {John Wiley \& Sons, Inc.}, title = {Have referees rejected some of the most-cited articles of all times?}, url = {http://portal.acm.org/citation.cfm?id=235902.235908}, volume = 47, year = 1996 } @inproceedings{hu2004mining, acmid = {1014073}, address = {New York, NY, USA}, author = {Hu, Minqing and Liu, Bing}, booktitle = {Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining}, doi = {http://doi.acm.org/10.1145/1014052.1014073}, interhash = {fa4cfdb6168dd55d8fb419fef992c631}, intrahash = {88f1001cb2a901275383ad63b87d61fc}, isbn = {1-58113-888-1}, location = {Seattle, WA, USA}, numpages = {10}, pages = {168--177}, publisher = {ACM}, series = {KDD '04}, title = {Mining and summarizing customer reviews}, url = {http://doi.acm.org/10.1145/1014052.1014073}, year = 2004 } @article{lerch2010datenschutz, author = {Lerch, Hana and Krause, Beate and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, interhash = {bbe328f35326b84db30c14648c176384}, intrahash = {fc44b1bdc724bbda45d08e35cba8b0ec}, journal = {MultiMedia und Recht}, pages = {454-458}, title = {Social Bookmarking-Systeme – die unerkannten Datensammler - Ungewollte personenbezogene Datenverabeitung?}, volume = 7, year = 2010 } @article{bollen2005metrics, author = {Bollen, Johan and de Sompel, Herbert Van and Smith, Joan A. and Luce, Rick}, doi = {DOI: 10.1016/j.ipm.2005.03.024}, interhash = {e4a18bade26e008fe5488321ec5d6c04}, intrahash = {01f9e4bea8d03b520dfb618c691e217f}, issn = {0306-4573}, journal = {Information Processing & Management}, note = {Special Issue on Infometrics}, number = 6, pages = {1419 - 1440}, title = {Toward alternative metrics of journal impact: A comparison of download and citation data}, url = {http://www.sciencedirect.com/science/article/B6VC8-4GCX1RT-1/2/e68c8a7adfe61acb9d92eb261abd3a43}, volume = 41, year = 2005 } @inproceedings{Claypool:2001:III:359784.359836, acmid = {359836}, address = {New York, NY, USA}, author = {Claypool, Mark and Le, Phong and Wased, Makoto and Brown, David}, booktitle = {Proceedings of the 6th international conference on Intelligent user interfaces}, doi = {http://doi.acm.org/10.1145/359784.359836}, interhash = {1bcb8b08d1ec2e58666acae3d704710a}, intrahash = {5965344f7121845f069848384fb3e0b9}, isbn = {1-58113-325-1}, location = {Santa Fe, New Mexico, United States}, numpages = {8}, pages = {33--40}, publisher = {ACM}, series = {IUI '01}, title = {Implicit interest indicators}, url = {http://doi.acm.org/10.1145/359784.359836}, year = 2001 }