Social networks applied Export

@article{citeulike:603137, abstract = {Social networks have interesting properties. They influence our lives enormously without us being aware of the implications they raise. The authors investigate the following areas concerning social networks: how to exploit our unprecedented wealth of data and how we can mine social networks for purposes such as marketing campaigns; social networks as a particular form of influence, i.e.., the way that people agree on terminology and this phenomenon's implications for the way we build ontologies and the Semantic Web; social networks as something we can discover from data; the use of social network information to offer a wealth of new applications such as better recommendations for restaurants, trustworthy email senders, or (maybe) blind dates; investigation of the richness and difficulty of harvesting FOAF (friend-of-a-friend) information; and by looking at how information processing is bound to social context, the resulting ways that network topology's definition determines its outcomes.}, address = {Los Alamitos, CA, USA}, author = {Staab, S. and Domingos, P. and Mike, P. and Golbeck, J. and Ding, Li and Finin, T. and Joshi, A. and Nowak, A. and Vallacher, R. R.}, citeulike-article-id = {603137}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1048713.1048791}, citeulike-linkout-1 = {http://doi.ieeecomputersociety.org/10.1109/MIS.2005.16}, citeulike-linkout-2 = {http://dx.doi.org/10.1109/MIS.2005.16}, citeulike-linkout-3 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1392679}, comment = {Collection of papers}, day = {04}, doi = {10.1109/MIS.2005.16}, issn = {1541-1672}, journal = {Intelligent Systems, IEEE}, keywords = {cs, socialnetworks}, month = {April}, number = {1}, pages = {80--93}, posted-at = {2007-07-19 18:00:35}, priority = {2}, publisher = {IEEE Computer Society}, title = {Social networks applied}, url = {http://dx.doi.org/10.1109/MIS.2005.16}, volume = {20}, year = {2005} }

TY - JOUR ID - citeulike:603137 L3 - citeulike-article-id:603137 N2 - Social networks have interesting properties. They influence our lives enormously without us being aware of the implications they raise. The authors investigate the following areas concerning social networks: how to exploit our unprecedented wealth of data and how we can mine social networks for purposes such as marketing campaigns; social networks as a particular form of influence, i.e.., the way that people agree on terminology and this phenomenon's implications for the way we build ontologies and the Semantic Web; social networks as something we can discover from data; the use of social network information to offer a wealth of new applications such as better recommendations for restaurants, trustworthy email senders, or (maybe) blind dates; investigation of the richness and difficulty of harvesting FOAF (friend-of-a-friend) information; and by looking at how information processing is bound to social context, the resulting ways that network topology's definition determines its outcomes. IS - 1 JF - Intelligent Systems, IEEE SN - 1541-1672 AD - Los Alamitos, CA, USA EP - 93 TI - Social networks applied PB - IEEE Computer Society VL - 20 SP - 80 KW - cs KW - socialnetworks N1 - Collection of papers AU - Staab, S AU - Domingos, P AU - Mike, P AU - Golbeck, J AU - Ding, Li AU - Finin, T AU - Joshi, A AU - Nowak, A AU - Vallacher, RR PY - 2005/04/04/ UR - http://dx.doi.org/10.1109/MIS.2005.16 ER -