PUMAburst/PUMA RSS feed for /2012-05-16T23:36:52+0200http://puma.uni-kassel.de/bibtex/2947cc4cf4cbfdd3df48916237c7cd694/jaeschkejaeschke2012-05-15T17:46:56+0200erdös history math number <span class="authorEditorList"><a href="/author/Hoffman">P. Hoffman</a> </span><em>The Atlantic Monthly</em> (<em>November 1987</em>)Tue May 15 17:46:56 CEST 2012The Atlantic Monthlynov60--74The man who loves only numbers1987erdös history math number Paul Erdös is certainly the most prolific - and probably the most eccentric - mathematician in the world.http://puma.uni-kassel.de/bibtex/2cf464e5e44fbad2b68e11a80cbded06e/jaeschkejaeschke2012-05-15T12:15:02+0200math probability theory toread <span class="authorEditorList"><a href="/author/Feller">William Feller</a> </span><em>Wiley, </em><em>New York, </em>(<em>1968</em>)Tue May 15 12:15:02 CEST 2012New YorkAn introduction to probability theory and its applications1968math probability theory toread http://puma.uni-kassel.de/bibtex/2f0a69ac56b94a471b470ebd56545fafd/jaeschkejaeschke2012-04-26T11:35:36+0200community computer crowdsourcing sensing social urban <span class="authorEditorList"><a href="/author/Hristova">Desislava Hristova</a>, <a href="/author/Mashhadi">Afra Mashhadi</a>, <a href="/author/Quattrone">Giovanni Quattrone</a>, und <a href="/author/Capra">Licia Capra</a> </span><em>Proc. When the City Meets the Citizen Workshop WCMCW, </em>(<em>Juni 2012</em>)Thu Apr 26 11:35:36 CEST 2012Proc. When the City Meets the Citizen Workshop (WCMCW)junMapping Community Engagement with Urban Crowd-Sourcing2012community computer crowdsourcing sensing social urban Communities of people are better mappers if they are spatially clustered, as revealed in an interesting new paper by Hristova, Mashhadi, Quattrone and Capra from UCL. "This preliminary analysis inspires further inquiry because it shows a clear correlation between spatial affiliation, the internal community structure and the community’s engagement in terms of coverage", according to the authors. They have studied the similarity patterns among eight hundred contributors to OpenStreetMap, the well-known crowdmapping project and detected the hidden community structure. It is a very promising field of research, coupling a social network analysis of crowdsourced data. Participants to such projects are rarely independent individuals: in most cases, they involve communities more than single participants and it would be crucial to uncover how the underlying social structure reflects on the quantity and the quality of the collected data. It has the greatest relevance for citizen science projects, as data quality is often the key issue determining the success or the failure of the collective effort. http://puma.uni-kassel.de/bibtex/23952c105cee15d5da9a50e5557f974ab/jaeschkejaeschke2012-04-25T16:07:19+0200search social toread <span class="authorEditorList"><a href="/author/Golovchinsky">G. Golovchinsky</a>, <a href="/author/Qvarfordt">P. Qvarfordt</a>, und <a href="/author/Pickens">J. Pickens</a> </span><em>Computer</em> <em>42(3):47--51</em> (<em>März 2009</em>)Wed Apr 25 16:07:19 CEST 2012Computermarch 347--51Collaborative Information Seeking422009search social toread An examination of the roles and dimensions of collaborative search reveals new opportunities for information-seeking support tools.http://puma.uni-kassel.de/bibtex/2835394af0d9f7776978ec7f3e10cae13/jaeschkejaeschke2012-04-25T16:04:27+0200analysis search social toread <span class="authorEditorList"><a href="/author/Evans">Brynn M. Evans</a>, <a href="/author/Kairam">Sanjay Kairam</a>, und <a href="/author/Pirolli">Peter Pirolli</a> </span><em>Information Processing &amp; Management</em> <em>46(6):679--692</em> (<em>November 2010</em>)Wed Apr 25 16:04:27 CEST 2012Tarrytown, NY, USAInformation Processing & Managementnov6679--692Do your friends make you smarter?: An analysis of social strategies in online information seeking462010analysis search social toread Prior research in the social search space has focused on the informational benefits of collaborating with others during web and workplace information seeking. However, social interactions, especially during complex tasks, can have cognitive benefits as well. Our goal in this paper is to document the methods and outcomes of using social resources to help with exploratory search tasks. We used a talk-aloud protocol and video capture to explore the actions of eight subjects as they completed two ''Google-hard'' search tasks. Task questions were alternated between a Social and Non-Social Condition. The Social Condition restricted participants to use only social resources-search engines were not allowed. The Non-Social Condition permitted normal web-based information sources, but restricted the use of social tools. We describe the social tactics our participants used in their search process. Asking questions on social networking sites and targeting friends one-on-one both resulted in increased information processing but during different phases of the question-answering process. Participants received more responses via social networking sites but more thorough answers in private channels (one-on-one). We discuss the possibility that the technological and cultural affordances of different social-informational media may provide complementary cognitive benefits to searchers. Our work suggests that online social tools could be better integrated with each other and with existing search facilities. We conclude with a discussion of our findings and implications for the design of social search tools.