@inproceedings{1367542,
title = {Flickr tag recommendation based on collective knowledge},
address = {New York, NY, USA},
author = {B\"{o}rkur Sigurbj\"{o}rnsson and Roelof van Zwol},
booktitle = {WWW '08: Proceeding of the 17th international conference on World Wide Web},
pages = {327--336},
publisher = {ACM},
year = 2008,
url = {http://portal.acm.org/citation.cfm?id=1367497.1367542},
location = {Beijing, China},
isbn = {978-1-60558-085-2},
doi = {http://doi.acm.org/10.1145/1367497.1367542},
description = {Flickr tag recommendation based on collective knowledge},
biburl = {http://www.bibsonomy.org/bibtex/21180c2b62d74ec836dce01b7466f88d3/andreab},
keywords = {tags flickr co-occurrence tagging www2008 recommendation wordnet imported yahoo statistics}
}
@inproceedings{1150476,
title = {Structure and evolution of online social networks},
address = {New York, NY, USA},
author = {Ravi Kumar and Jasmine Novak and Andrew Tomkins},
booktitle = {KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining},
pages = {611--617},
publisher = {ACM},
year = 2006,
url = {http://portal.acm.org/citation.cfm?id=1150476#},
location = {Philadelphia, PA, USA},
isbn = {1-59593-339-5},
doi = {http://doi.acm.org/10.1145/1150402.1150476},
description = {Structure and evolution of online social networks},
abstract = {In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess of five million people and ten million friendship links, annotated with metadata capturing the time of every event in the life of the network. Our measurements expose a surprising segmentation of these networks into three regions: singletons who do not participate in the network; isolated communities which overwhelmingly display star structure; and a giant component anchored by a well-connected core region which persists even in the absence of stars.We present a simple model of network growth which captures these aspects of component structure. The model follows our experimental results, characterizing users as either passive members of the network; inviters who encourage offline friends and acquaintances to migrate online; and linkers who fully participate in the social evolution of the network.},
biburl = {http://www.bibsonomy.org/bibtex/203874e666c56f22bce1b7db254420d77/andreab},
keywords = {models flickr structure 2006 social analysis network imported yahoo}
}
@incollection{citeulike:2296842,
title = {Graphs from Search Engine Queries},
author = {Ricardo Baeza-Yates},
journal = {SOFSEM 2007: Theory and Practice of Computer Science},
pages = {1--8},
year = 2007,
url = {http://dx.doi.org/10.1007/978-3-540-69507-3\_1},
id = {2296842},
priority = {4},
doi = {10.1007/978-3-540-69507-3\_1},
abstract = {Server logs of search engines store traces of queries submitted by users, which include queries themselves along with Web pages selected in their answers. Here we describe several graph-based relations among queries and many applications where these graphs could be used.},
biburl = {http://www.bibsonomy.org/bibtex/2bef419e2b1b31e572d05817f510775d0/andreab},
keywords = {networtk 2007 definition search logs query analysis introduction graphs yahoo}
}
@inproceedings{citeulike:2229158,
title = {Extracting semantic relations from query logs},
address = {New York, NY, USA},
author = {Ricardo Baeza-Yates and Alessandro Tiberi},
booktitle = {KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining},
pages = {76--85},
publisher = {ACM},
year = 2007,
url = {http://portal.acm.org/citation.cfm?id=1281204},
id = {2229158},
priority = {4},
isbn = {9781595936097},
doi = {10.1145/1281192.1281204