@article{journals/nle/ZeschG10,
  author = {Zesch, Torsten and Gurevych, Iryna},
  ee = {http://dx.doi.org/10.1017/S1351324909990167},
  interhash = {3300b5457187d0f6c551e63ecb27336c},
  intrahash = {76a512bbba5ba8ec5819d469d4611d81},
  journal = {Natural Language Engineering},
  number = 1,
  pages = {25-59},
  title = {Wisdom of crowds versus wisdom of linguists - measuring the semantic relatedness of words.},
  url = {http://dblp.uni-trier.de/db/journals/nle/nle16.html#ZeschG10},
  volume = 16,
  year = 2010
}

@misc{blondel2015survey,
  abstract = {In this paper, we review some advances made recently in the study of mobile
phone datasets. This area of research has emerged a decade ago, with the
increasing availability of large-scale anonymized datasets, and has grown into
a stand-alone topic. We will survey the contributions made so far on the social
networks that can be constructed with such data, the study of personal
mobility, geographical partitioning, urban planning, and help towards
development as well as security and privacy issues.},
  author = {Blondel, Vincent D. and Decuyper, Adeline and Krings, Gautier},
  interhash = {4386dfbc20b3f9e6a1a5bf113f5cdd1c},
  intrahash = {469e50f40c6091f639cff024f8e90100},
  note = {cite arxiv:1502.03406},
  title = {A survey of results on mobile phone datasets analysis},
  url = {http://arxiv.org/abs/1502.03406},
  year = 2015
}

@inproceedings{wetzker2008analyzing,
  abstract = {Social bookmarking systems have recently gained interestamong researches in the areas of data mining and web intelligence, as they provide a vast amount of user-generated annotations and reflect the interests of millions of people. In this paper, we discuss our initial findings obtained from analyzing a vast corpus of almost 150 million bookmarks found at del.icio.us. Apart from investigating bookmarking and tagging patterns in this data, we discuss evidence that social bookmarking systems are vulnerable to spamming and hence need to be preprocessed before any insightful analysis can be carried out. We present a method, which limits the influence of spam in social bookmarking analysis and provide conclusions and directions for future research.},
  author = {Wetzker, Robert and Zimmermann, Carsten and Bauckhage, Christian},
  booktitle = {Mining Social Data (MSoDa) Workshop Proceedings},
  interhash = {cdd8d32ba6507335a3b856419afc71c3},
  intrahash = {c71aa17db3959585ed3320dcefe7f39b},
  month = {July},
  organization = {ECAI 2008},
  pages = {26-30},
  title = {Analyzing Social Bookmarking Systems: A del.icio.us Cookbook},
  url = {http://robertwetzker.com/wp-content/uploads/2008/06/wetzker_delicious_ecai2008_final.pdf},
  year = 2008
}