@ARTICLE{Friends,
    author = {Lada A. Adamic and Eytan Adar},
    title = {Friends and Neighbors on the Web},
    journal = {SOCIAL NETWORKS},
    year = {2001},
    volume = {25},
    pages = {211--230}
}

@article{SurveyTransferLearning,
	
	author = {Sinno Jialin Pan and Qiang Yang},
	title = {A Survey on Transfer Learning},
	journal ={IEEE Transactions on Knowledge and Data Engineering},
	volume = {22},
	issn = {1041-4347},
	year = {2010},
	pages = {1345-1359},
	doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2009.191},
	publisher = {IEEE Computer Society},
	address = {Los Alamitos, CA, USA}
}

@article{TwitterWOM,
 author = {Jansen, Bernard J. and Zhang, Mimi and Sobel, Kate and Chowdury, Abdur},
 title = {Twitter power: Tweets as electronic word of mouth},
 journal = {J. Am. Soc. Inf. Sci. Technol.},
 volume = {60},
 issue = {11},
 month = {November},
 year = {2009},
 issn = {1532-2882},
 pages = {2169--2188},
 numpages = {20},
 url = {http://dx.doi.org/10.1002/asi.v60:11},
 doi = {http://dx.doi.org/10.1002/asi.v60:11},
 acmid = {1656297},
 publisher = {John Wiley \& Sons, Inc.},
 address = {New York, NY, USA},
 keywords = {Twitter, classification, marketing, sentiment analysis, social networking},
} 


@inproceedings{ThumbsUp,
 author = {Turney, Peter D.},
 title = {Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews},
 booktitle = {Proceedings of the 40th Annual Meeting on Assoc. for Computational Linguistics},
 series = {ACL '02},
 year = {2002},
 location = {Philadelphia, Pennsylvania},
 pages = {417--424},
 numpages = {8},
 url = {http://dx.doi.org/10.3115/1073083.1073153},
 doi = {http://dx.doi.org/10.3115/1073083.1073153},
 acmid = {1073153},
 publisher = {Association for Computational Linguistics},
 address = {Morristown, NJ, USA},
} 

@article{Widmer:1996:LPC:226791.226798,
 author = {Widmer, Gerhard and Kubat, Miroslav},
 title = {Learning in the presence of concept drift and hidden contexts},
 journal = {Mach. Learn.},
 volume = {23},
 issue = {1},
 month = {April},
 year = {1996},
 issn = {0885-6125},
 pages = {69--101},
 numpages = {33},
 url = {http://dl.acm.org/citation.cfm?id=226791.226798},
 doi = {10.1023/A:1018046501280},
 acmid = {226798},
 publisher = {Kluwer Academic Publishers},
 address = {Hingham, MA, USA},
 keywords = {concept drift, context dependence, forgetting, incremental concept learning, on-line learning},
} 


@inproceedings{ACID,
 author = {Gray, Jim},
 title = {The transaction concept: virtues and limitations (invited paper)},
 booktitle = {Proceedings of the seventh international conference on Very Large Data Bases - Volume 7},
 series = {VLDB '1981},
 year = {1981},
 location = {Cannes, France},
 pages = {144--154},
 numpages = {11},
 url = {http://portal.acm.org/citation.cfm?id=1286831.1286846},
 acmid = {1286846},
 publisher = {VLDB Endowment},
} 



@inproceedings{pcalaisKDD11,
	author={Pedro H. Calais Guerra and Adriano Veloso and Meira,Jr, Wagner and Virgilio Almeida},
	title={From Bias to Opinion: A Transfer-Learning Approach to Real-Time Sentiment Analysis},
	year={2011},
	booktitle={Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
	address={San Diego, CA, USA}
}


@inproceedings{TwitterEarthquake,
 author = {Sakaki, Takeshi and Okazaki, Makoto and Matsuo, Yutaka},
 title = {Earthquake shakes Twitter users: real-time event detection by social sensors},
 booktitle = {Proceedings of the 19th international conference on World wide web},
 series = {WWW '10},
 year = {2010},
 isbn = {978-1-60558-799-8},
 location = {Raleigh, North Carolina, USA},
 pages = {851--860},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1772690.1772777},
 doi = {http://doi.acm.org/10.1145/1772690.1772777},
 acmid = {1772777},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Twitter, earthquake, event detection, location estimation, social sensor},
} 


@inproceedings{MemeTracker,
 author = {Leskovec, Jure and Backstrom, Lars and Kleinberg, Jon},
 title = {Meme-tracking and the dynamics of the news cycle},
 booktitle = {Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining},
 series = {KDD '09},
 year = {2009},
 isbn = {978-1-60558-495-9},
 location = {Paris, France},
 pages = {497--506},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1557019.1557077},
 doi = {http://doi.acm.org/10.1145/1557019.1557077},
 acmid = {1557077},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {blogs, information cascades, information networks, meme-tracking, news cycle, news media, social networks},
} 


@inproceedings{Mourao:2008:UTA:1341531.1341554,
 author = {Mour\~{a}o, Fernando and Rocha, Leonardo and Ara\'{u}jo, Renata and Couto, Thierson and Gon\c{c}alves, Marcos and Meira,Jr., Wagner},
 title = {Understanding temporal aspects in document classification},
 booktitle = {Proceedings of the international conference on Web search and web data mining},
 series = {WSDM '08},
 year = {2008},
 isbn = {978-1-59593-927-2},
 location = {Palo Alto, California, USA},
 pages = {159--170},
 numpages = {12},
 url = {http://doi.acm.org/10.1145/1341531.1341554},
 doi = {http://doi.acm.org/10.1145/1341531.1341554},
 acmid = {1341554},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {digital libraries, temporal analysis, text classification},
} 




@inproceedings{MultiFaceted,
 author = {Bing Liu},
 title = {Sentiment Analysis: A Multi-Faceted Problem},
 booktitle = {IEEE Intelligent Systems},
 year = {2010}
 }

@inproceedings{SimRank,
 author = {Jeh, Glen and Widom, Jennifer},
 title = {SimRank: a measure of structural-context similarity},
 booktitle = {KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining},
 year = {2002},
 isbn = {1-58113-567-X},
 pages = {538--543},
 location = {Edmonton, Alberta, Canada},
 doi = {http://doi.acm.org/10.1145/775047.775126},
 publisher = {ACM},
 address = {New York, NY, USA},
 }

@INPROCEEDINGS{SVM1,
    author = {Alekh Agarwal},
    title = {Sentiment analysis: A new approach for effective use of linguistic knowledge and exploiting similarities in a set of documents to be classified},
    booktitle = {In Proceedings of the International Conference on Natural Language Processing (ICON)},
    year = {2005}
}

@inproceedings{Vuvuzelas,

author={Ulrich Paquet and Jurgen Van Gael and David Stern and Gjergji Kasneci and Ralf Herbrich and Thore Graepel},
title={Vuvuzelas \& Active Learning for Online Classification},
year={2010},
booktitle={Computational Social Science and the Wisdom of Crowds Workshop}
location={Vancouver, Canada}
}

@book{SemiSupervised,

author={O. Chapelle and B. Schölkopf and A. Zien},
title={Semi-Supervised Learning},
publisher={MIT Press},
year={2006}
}

@inproceedings{PeanutGallery,
 author = {Dave, Kushal and Lawrence, Steve and Pennock, David M.},
 title = {Mining the peanut gallery: opinion extraction and semantic classification of product reviews},
 booktitle = {Proceedings of the 12th international conference on World Wide Web},
 series = {WWW '03},
 year = {2003},
 isbn = {1-58113-680-3},
 location = {Budapest, Hungary},
 pages = {519--528},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/775152.775226},
 doi = {http://doi.acm.org/10.1145/775152.775226},
 acmid = {775226},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {document classification, opinion mining},
} 



@inproceedings{ProximityBased,
 author = {Gerani, Shima and Carman, Mark James and Crestani, Fabio},
 title = {Proximity-based opinion retrieval},
 booktitle = {Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval},
 series = {SIGIR'10},
 year = {2010},
 isbn = {978-1-4503-0153-4},
 location = {Geneva, Switzerland},
 pages = {403--410},
 numpages = {8},
 url = {http://doi.acm.org/10.1145/1835449.1835517},
 doi = {http://doi.acm.org/10.1145/1835449.1835517},
 acmid = {1835517},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {blog, opinion, proximity, retrieval, sentiment},
}


@inproceedings{Blogs_KDD09,
 author = {Melville, Prem and Gryc, Wojciech and Lawrence, Richard D.},
 title = {Sentiment analysis of blogs by combining lexical knowledge with text classification},
 booktitle = {Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining},
 series = {KDD '09},
 year = {2009},
 isbn = {978-1-60558-495-9},
 location = {Paris, France},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1557019.1557156},
 doi = {http://doi.acm.org/10.1145/1557019.1557156},
 acmid = {1557156},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {background knowledge, blog analysis, dual supervision, movie reviews, naive bayes, opinion mining, political blogs, prior knowledge, sentiment analysis, technology blogs, text mining},
}


@inproceedings{ThumbsUp,
 author = {Pang, Bo and Lee, Lillian and Vaithyanathan, Shivakumar},
 title = {Thumbs up?: sentiment classification using machine learning techniques},
 booktitle = {Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10},
 series = {EMNLP '02},
 year = {2002},
 pages = {79--86},
 numpages = {8},
 url = {http://dx.doi.org/10.3115/1118693.1118704},
 doi = {http://dx.doi.org/10.3115/1118693.1118704},
 acmid = {1118704},
 publisher = {Association for Computational Linguistics},
 address = {Morristown, NJ, USA},
} 

@inproceedings{PatternMatching,
 author = {Tong, Hanghang and Faloutsos, Christos and Gallagher, Brian and Eliassi-Rad, Tina},
 title = {Fast best-effort pattern matching in large attributed graphs},
 booktitle = {Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining},
 series = {KDD '07},
 year = {2007},
 isbn = {978-1-59593-609-7},
 location = {San Jose, California, USA},
 pages = {737--746},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1281192.1281271},
 doi = {http://doi.acm.org/10.1145/1281192.1281271},
 acmid = {1281271},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {attributed graph, pattern match, random walk},
} 

@TechReport{MeasureOfMediasBias,
  author={Jeffrey Milyo and Tim Groseclose},
  title={A Measure of Media Bias},
  year={2005},
  month=Jan,
  institution={Department of Economics, University of Missouri},
  type={Working Papers},
  url={http://ideas.repec.org/p/umc/wpaper/0501.html},
  number={0501},
  abstract={},
  keywords={}
}


@inproceedings{Ranking,
 author = {Agarwal, Alekh and Chakrabarti, Soumen and Aggarwal, Sunny},
 title = {Learning to rank networked entities},
 booktitle = {Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining},
 series = {KDD '06},
 year = {2006},
 isbn = {1-59593-339-5},
 location = {Philadelphia, PA, USA},
 pages = {14--23},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1150402.1150409},
 doi = {http://doi.acm.org/10.1145/1150402.1150409},
 acmid = {1150409},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {conductance matrix, maximum entropy, network flow, pagerank},
} 



@ARTICLE{sentiment_analysis,
  author = {Bo Pang and Lillian Lee},
  title = {Opinion mining and sentiment analysis},
  journal = {Foundations and Trends in Information Retrieval},
  year = {2008},
  volume = {2},
  pages = {1--135},
  number = {1-2}
}

@article{ColaborativeFiltering_RW,
 author = {Fouss, Francois and Pirotte, Alain and Renders, Jean-Michel and Saerens, Marco},
 title = {Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation},
 journal = {IEEE Trans. on Knowl. and Data Eng.},
 volume = {19},
 issue = {3},
 year = {2007},
 issn = {1041-4347},
 pages = {355--369},
 numpages = {15},
 url = {http://portal.acm.org/citation.cfm?id=1263132.1263335},
 doi = {10.1109/TKDE.2007.46},
 acmid = {1263335},
 publisher = {IEEE Educational Activities Department},
 address = {Piscataway, NJ, USA},
 keywords = {Graph analysis, graph and database mining, collaborative recommendation, graph kernels, spectral clustering, Fiedler vector, proximity measures, statistical relational learning.},
} 


@book{RelationalLearning,
 author = {Getoor, Lise and Taskar, Ben},
 title = {Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)},
 year = {2007},
 isbn = {0262072882},
 publisher = {The MIT Press},
} 

@inproceedings{GhostEdges,
 author = {Gallagher, Brian and Tong, Hanghang and Eliassi-Rad, Tina and Faloutsos, Christos},
 title = {Using ghost edges for classification in sparsely labeled networks},
 booktitle = {Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining},
 series = {KDD '08},
 year = {2008},
 isbn = {978-1-60558-193-4},
 location = {Las Vegas, Nevada, USA},
 numpages = {9},
 url = {http://doi.acm.org/10.1145/1401890.1401925},
 doi = {http://doi.acm.org/10.1145/1401890.1401925},
 acmid = {1401925},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {collective classification, random walk, semi-supervised learning, statistical relational learning},
} 


@inproceedings{FewLabels,
  author    = {Frank Lin and
               William W. Cohen},
  title     = {Semi-Supervised Classification of Network Data Using Very
               Few Labels},
  booktitle = {ASONAM},
  year      = {2010},
  pages     = {192-199},
  ee        = {http://doi.ieeecomputersociety.org/10.1109/ASONAM.2010.19},
  crossref  = {DBLP:conf/asunam/2010},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}




@inproceedings{Link_Prediction,
 author = {Liben-Nowell, David and Kleinberg, Jon},
 title = {The link prediction problem for social networks},
 booktitle = {CIKM '03: Proceedings of the twelfth international conference on Information and knowledge management},
 year = {2003},
 isbn = {1-58113-723-0},
 pages = {556--559},
 location = {New Orleans, LA, USA},
 doi = {http://doi.acm.org/10.1145/956863.956972},
 publisher = {ACM},
 address = {New York, NY, USA},
 }



@inproceedings{EdgeSign,
 author = {Leskovec, Jure and Huttenlocher, Daniel and Kleinberg, Jon},
 title = {Predicting positive and negative links in online social networks},
 booktitle = {WWW '10: Proceedings of the 19th international conference on World wide web},
 year = {2010},
 isbn = {978-1-60558-799-8},
 pages = {641--650},
 location = {Raleigh, North Carolina, USA},
 doi = {http://doi.acm.org/10.1145/1772690.1772756},
 publisher = {ACM},
 address = {New York, NY, USA},
 }



@inproceedings{MemeTracker,
 author = {Leskovec, Jure and Backstrom, Lars and Kleinberg, Jon},
 title = {Meme-tracking and the dynamics of the news cycle},
 booktitle = {KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining},
 year = {2009},
 isbn = {978-1-60558-495-9},
 pages = {497--506},
 location = {Paris, France},
 doi = {http://doi.acm.org/10.1145/1557019.1557077},
 publisher = {ACM},
 address = {New York, NY, USA},
 }

@inproceedings{icwsm10cha,
   author = {Meeyoung Cha and Hamed Haddadi and Fabricio Benevenuto and Krishna P. Gummadi},
   title = {{Measuring User Influence in Twitter: The Million Follower Fallacy}},
   booktitle = {In Proceedings of the 4th International AAAI Conference on Weblogs and Social Media (ICWSM)}},
   month = {May},
   year = {2010},
   address = {Washington DC, USA}
}

@InProceedings{SentimentTransfer,
  author    = {Blitzer, John  and  Dredze, Mark  and  Pereira, Fernando},
  title     = {Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification},
  booktitle = {Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics},
  month     = {June},
  year      = {2007},
  address   = {Prague, Czech Republic},
  publisher = {Association for Computational Linguistics},
  pages     = {440--447},
  url       = {http://www.aclweb.org/anthology/P07-1056}
}

@inproceedings{BridgingDomains,
  author    = {Tao Li and
               Vikas Sindhwani and
               Chris H. Q. Ding and
               Yi Zhang 0005},
  title     = {Bridging Domains with Words: Opinion Analysis with Matrix
               Tri-factorizations},
  booktitle = {SDM},
  year      = {2010},
  pages     = {293-302},
  ee        = {http://www.siam.org/proceedings/datamining/2010/dm10_026_lit.pdf},
  crossref  = {DBLP:conf/sdm/2010},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}



@inproceedings{DividedTheyBlog,
 author = {Adamic, Lada A. and Glance, Natalie},
 title = {The political blogosphere and the 2004 U.S. election: divided they blog},
 booktitle = {LinkKDD '05: Proceedings of the 3rd international workshop on Link discovery},
 year = {2005},
 isbn = {1-59593-215-1},
 pages = {36--43},
 location = {Chicago, Illinois},
 doi = {http://doi.acm.org/10.1145/1134271.1134277},
 publisher = {ACM},
 address = {New York, NY, USA},
 }


@inproceedings{TwitterSocialMedia,
 author = {Kwak, Haewoon and Lee, Changhyun and Park, Hosung and Moon, Sue},
 title = {What is Twitter, a social network or a news media?},
 booktitle = {WWW '10: Proceedings of the 19th international conference on World wide web},
 year = {2010},
 isbn = {978-1-60558-799-8},
 pages = {591--600},
 location = {Raleigh, North Carolina, USA},
 doi = {http://doi.acm.org/10.1145/1772690.1772751},
 publisher = {ACM},
 address = {New York, NY, USA},
 }

@inproceedings{SpamElections,
 author={Mustafaraj, Eni and Metaxas, Panagiotis},
 title={From Obscurity to Prominence in Minutes: Political Speech and Real-Time Search},
 booktitle={Proceedings of the WebSci'10: Extending the Frontiers of Society On-Line},
 year={2010},
 address={Raleigh, NC, USA}
}

@inproceedings{IranElections, 
 author={Devin Gaffney},
 title = {\#iranElection: Quantifying Online Activism},
 booktitle={Proceedings of the WebSci'10: Extending the Frontiers of Society On-Line},
 year={2010}
}

@inproceedings{Tweets_Pools,
    author = {O'Connor, Brendan and Balasubramanyan, Ramnath and Routledge, Bryan and Smith, Noah},
    booktitle = {Proceedings of the Int'l AAAI Conference on Weblogs and Social Media},
    keywords = {poll, prediction, sentiment, sentiment-analysis, twitter},
    title = {From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series},
    year = {2010}
}

@inproceedings{HMMs,
 author = {Jin, Wei and Ho, Hung Hay and Srihari, Rohini K.},
 title = {OpinionMiner: a novel machine learning system for web opinion mining and extraction},
 booktitle = {Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining},
 series = {KDD '09},
 year = {2009},
 isbn = {978-1-60558-495-9},
 location = {Paris, France},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1557019.1557148},
 doi = {http://doi.acm.org/10.1145/1557019.1557148},
 acmid = {1557148},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {lexicalized HMMs, opinion mining, sentiment analysis},
} 


@INPROCEEDINGS{SentimentNLP,
    author = {Jeonghee Yi and Tetsuya Nasukawa and Razvan Bunescu and Wayne Niblack},
    title = {Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques},
    booktitle = {In IEEE Intl. Conf. on Data Mining (ICDM)},
    year = {2003},
    pages = {427--434}
}


@inproceedings{LargeScale_Blogs,
  author = {Namrata Godbole and Manjunath Srinivasaiah and Steven Skiena},
  booktitle = {Proceedings of the International Conference on Weblogs and Social
	Media (ICWSM)},
  interhash = {db9c97e105d4387821aa7b404cbeb04a},
  intrahash = {b67e0f2a90a04960e14ea8453134ecb5},
  title = {Large-Scale Sentiment Analysis for News and Blogs},
  year = 2007,
  keywords = {blogs mood news sentiment},
  added-at = {2010-12-09T11:44:23.000+0100},
  biburl = {http://www.bibsonomy.org/bibtex/2b67e0f2a90a04960e14ea8453134ecb5/orangesugus}
}



@article{Seeds_Communities,
 author = {Mehler, Andrew and Skiena, Steven},
 title = {Expanding network communities from representative examples},
 journal = {ACM Trans. Knowl. Discov. Data},
 volume = {3},
 issue = {2},
 month = {April},
 year = {2009},
 issn = {1556-4681},
 pages = {7:1--7:27},
 articleno = {7},
 numpages = {27},
 url = {http://doi.acm.org/10.1145/1514888.1514890},
 doi = {http://doi.acm.org/10.1145/1514888.1514890},
 acmid = {1514890},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Discrete mathematics, artificial intelligence, community discovery, graph theory, news analysis, social networks},
} 


@inproceedings{TwitterRank,
 author = {Weng, Jianshu and Lim, Ee-Peng and Jiang, Jing and He, Qi},
 title = {TwitterRank: finding topic-sensitive influential twitterers},
 booktitle = {WSDM '10: Proceedings of the third ACM international conference on Web search and data mining},
 year = {2010},
 isbn = {978-1-60558-889-6},
 pages = {261--270},
 location = {New York, New York, USA},
 doi = {http://doi.acm.org/10.1145/1718487.1718520},
 publisher = {ACM},
 address = {New York, NY, USA},
 }

@BOOK{DataMining,
	AUTHOR = "Tan, P. and Steinbach and M. and Kumar, V.",
	TITLE = "Introduction to Data Mining, (First Edition)",
	PUBLISHER = " Addison-Wesley Longman Publishing Co.",
	YEAR = "2005"
}

@article{homophily,
  author = {Miller McPherson and Lynn Smith-Lovin and James M Cook},
  interhash = {53d6e370e7fbad390b61cb40be6b60f3},
  intrahash = {479df1ebd0b2af19529fe164e071c115},
  journal = {Annual Review of Sociology},
  number = 1,
  pages = {415-444},
  title = {Birds of a Feather: Homophily in Social Networks},
  url = {http://arjournals.annualreviews.org/doi/abs/10.1146/annurev.soc.27.1.415},
  volume = 27,
  year = 2001,
  keywords = {homophily social-networks},
  added-at = {2009-12-23T07:28:12.000+0100},
  description = {Birds of a Feather: Homophily in Social Networks - Annual Review of Sociology, 27(1):415 - Abstract},
  biburl = {http://www.bibsonomy.org/bibtex/2479df1ebd0b2af19529fe164e071c115/beate},
  doi = {10.1146/annurev.soc.27.1.415},
  eprint = {http://arjournals.annualreviews.org/doi/pdf/10.1146/annurev.soc.27.1.415}
}


@inproceedings{Influence,
 author = {Anagnostopoulos, Aris and Kumar, Ravi and Mahdian, Mohammad},
 title = {Influence and correlation in social networks},
 booktitle = {Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining},
 series = {KDD '08},
 year = {2008},
 isbn = {978-1-60558-193-4},
 location = {Las Vegas, Nevada, USA},
 pages = {7--15},
 numpages = {9},
 url = {http://doi.acm.org/10.1145/1401890.1401897},
 doi = {http://doi.acm.org/10.1145/1401890.1401897},
 acmid = {1401897},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {correlation, social influence, social networks, tagging},
}


@inproceedings{Proximity_Networks,
 author = {Koren, Yehuda and North, Stephen C. and Volinsky, Chris},
 title = {Measuring and extracting proximity in networks},
 booktitle = {KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining},
 year = {2006},
 isbn = {1-59593-339-5},
 pages = {245--255},
 location = {Philadelphia, PA, USA},
 doi = {http://doi.acm.org/10.1145/1150402.1150432},
 publisher = {ACM},
 address = {New York, NY, USA},
 }


@inproceedings{Tangent,
 author = {Onuma, Kensuke and Tong, Hanghang and Faloutsos, Christos},
 title = {TANGENT: a novel, 'Surprise me', recommendation algorithm},
 booktitle = {KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining},
 year = {2009},
 isbn = {978-1-60558-495-9},
 pages = {657--666},
 location = {Paris, France},
 doi = {http://doi.acm.org/10.1145/1557019.1557093},
 publisher = {ACM},
 address = {New York, NY, USA},
 }


@article{RWR,
 author = {Tong, Hanghang and Faloutsos, Christos and Pan, Jia-Yu},
 title = {Random walk with restart: fast solutions and applications},
 journal = {Knowl. Inf. Syst.},
 volume = {14},
 number = {3},
 year = {2008},
 issn = {0219-1377},
 pages = {327--346},
 doi = {http://dx.doi.org/10.1007/s10115-007-0094-2},
 publisher = {Springer-Verlag New York, Inc.},
 address = {New York, NY, USA},
 }


@inproceedings{ReviewerBias,
 author = {Staddon, Jessica and Chow, Richard},
 title = {Detecting reviewer bias through web-based association mining},
 booktitle = {Proceeding of the 2nd ACM workshop on Information credibility on the web},
 series = {WICOW '08},
 year = {2008},
 isbn = {978-1-60558-259-7},
 location = {Napa Valley, California, USA},
 pages = {5--10},
 numpages = {6},
 url = {http://doi.acm.org/10.1145/1458527.1458532},
 doi = {http://doi.acm.org/10.1145/1458527.1458532},
 acmid = {1458532},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {association rule mining, bias, reputation, trust},
} 

@inproceedings{LCrochaTemporal,
 author = {Rocha, Leonardo and Mour\~{a}o, Fernando and Pereira, Adriano and Gon\c{c}alves, Marcos Andr\'{e} and Meira,Jr., Wagner},
 title = {Exploiting temporal contexts in text classification},
 booktitle = {Proceedings of the 17th ACM conference on Information and knowledge management},
 series = {CIKM '08},
 year = {2008},
 isbn = {978-1-59593-991-3},
 location = {Napa Valley, California, USA},
 pages = {243--252},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1458082.1458117},
 doi = {http://doi.acm.org/10.1145/1458082.1458117},
 acmid = {1458117},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {digital libraries, temporal contexts, text classification},
} 

@inproceedings{TSallesTemporal,
 author = {Salles, Thiago and Rocha, Leonardo and Pappa, Gisele L. and Mour\~{a}o, Fernando and Meira,Jr, Wagner and Gon\c{c}alves, Marcos},
 title = {Temporally-aware algorithms for document classification},
 booktitle = {Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval},
 series = {SIGIR '10},
 year = {2010},
 isbn = {978-1-4503-0153-4},
 location = {Geneva, Switzerland},
 pages = {307--314},
 numpages = {8},
 url = {http://doi.acm.org/10.1145/1835449.1835502},
 doi = {http://doi.acm.org/10.1145/1835449.1835502},
 acmid = {1835502},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {classification and clustering, text mining},
}

@misc{OReilly09,
  address = {San Francisco, CA},
  author = {Tim O'Reilly and John Battelle},
  howpublished = {Web 2.0 Summit},
  interhash = {bb79488f7160458bef6486b0d4d26bfb},
  intrahash = {84028edf0bd09f7326876f1c079570d3},
  title = {Web Squared: Web 2.0 Five Years On},
  type = {White Paper},
  url = {http://www.web2summit.com/web2009/public/schedule/detail/10194},
  year = 2009,
  timestamp = {2009-08-10T14:00:06.000+0200},
  keywords = {o'reilly semantic web2.0},
  added-at = {2009-08-10T14:00:06.000+0200},
  biburl = {http://www.bibsonomy.org/bibtex/284028edf0bd09f7326876f1c079570d3/boehr},
  month = {June}
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@inproceedings{RealTimeRecommendation,
 author = {Phelan, Owen and McCarthy, Kevin and Smyth, Barry},
 title = {Using twitter to recommend real-time topical news},
 booktitle = {Proceedings of the third ACM conference on Recommender systems},
 series = {RecSys '09},
 year = {2009},
 isbn = {978-1-60558-435-5},
 location = {New York, New York, USA},
 pages = {385--388},
 numpages = {4},
 url = {http://doi.acm.org/10.1145/1639714.1639794},
 doi = {http://doi.acm.org/10.1145/1639714.1639794},
 acmid = {1639794},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {content-based recommendation, news recommendation, real-time recommendation, social recommendation, twitter},
} 


@inproceedings{CrowdDiscoveryWSDM11,
 author = {Kamath, Krishna Yeshwanth and Caverlee, James},
 title = {Transient crowd discovery on the real-time social web},
 booktitle = {Proceedings of the fourth ACM international conference on Web search and data mining},
 series = {WSDM '11},
 year = {2011},
 isbn = {978-1-4503-0493-1},
 location = {Hong Kong, China},
 pages = {585--594},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1935826.1935909},
 doi = {http://doi.acm.org/10.1145/1935826.1935909},
 acmid = {1935909},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {clustering, community detection, real-time web, social media},
} 


@inproceedings{TemporalVariationWSDM11,
 author = {Yang, Jaewon and Leskovec, Jure},
 title = {Patterns of temporal variation in online media},
 booktitle = {Proceedings of the fourth ACM international conference on Web search and data mining},
 series = {WSDM '11},
 year = {2011},
 isbn = {978-1-4503-0493-1},
 location = {Hong Kong, China},
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 numpages = {10},
 url = {http://doi.acm.org/10.1145/1935826.1935863},
 doi = {http://doi.acm.org/10.1145/1935826.1935863},
 acmid = {1935863},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {social media, time series clustering},
} 





@inproceedings{Walton,

author={Walton, Douglas},
title={Bias, critical doubt, and fallacies},
publisher={Argumentation and Advocacy},
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@article{ConfirmationBias,

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title={The psychology of judgment and decision making},
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@article{MediaBias,

author={Jennifer Earl and Andrew Martin and John D. McCarthy and Sarah A. Soule},	
title={The Use of Newspaper Data in the Study of Collective Action},
year={2004},
publisher={Annual Review of Sociology},
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pages={65--80}

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@article{Bias_Politics,

author={Kienpointner, Manfred and Kindt, Walther},
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@inproceedings{Blogs_SN,
  author = {Gryc, Wojciech  and  Moilanen, Karo},
  title = {Leveraging Textual Sentiment Analysis with Social Network Modelling: Sentiment Analysis of Political Blogs in the 2008 U.S. Presidential Election},
  year = "2010",
  booktitle = "Proceedings of the \"From Text to Political Positions\" Workshop (T2PP 2010)",
  location = "Vrije Universiteit, Amsterdam",
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@inproceedings{BLEWS,
    author = {Michael Gamon and Sumit Basu and Dmitriy Belenko and Danyel Fisher and Matthew Hurst and Arnd Christian König},
    title = {BLEWS: Using Blogs to Provide Context for News Articles},
    booktitle = {In Proceedings of the 2nd International AAAI Conference on Weblogs and Social Media (ICWSM)},
    year={2008},
    address={Seattle, WA, USA}
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@inproceedings{CrowdTwitter,
	author={Bermingham, Adam and Smeaton, Alan F.},
	title={Crowdsourced real-world sensing: sentiment analysis and the real-time web},
	year={2010},
	booktitle={AICS 2010 - Sentiment Analysis Workshop at Artificial Intelligence and Cognitive Science},
	location={Galway,Ireland}
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@INPROCEEDINGS{wvRN,
    author = {Sofus A. Macskassy and Foster Provost},
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@article{WithinNetwork,
 author = {Macskassy, Sofus A. and Provost, Foster},
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@inproceedings{PeakDetection,
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@inproceedings{BrevityTwitter,
 author = {Bermingham, Adam and Smeaton, Alan F.},
 title = {Classifying sentiment in microblogs: is brevity an advantage?},
 booktitle = {Proceedings of the 19th ACM international conference on Information and knowledge management},
 series = {CIKM '10},
 year = {2010},
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 location = {Toronto, ON, Canada},
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 doi = {http://doi.acm.org/10.1145/1871437.1871741},
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 publisher = {ACM},
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 keywords = {machine learning, sentiment analysis, user generated content},
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@inproceedings{DebatePerformance,
 author = {Diakopoulos, Nicholas A. and Shamma, David A.},
 title = {Characterizing debate performance via aggregated twitter sentiment},
 booktitle = {Proceedings of the 28th international conference on Human factors in computing systems},
 series = {CHI '10},
 year = {2010},
 isbn = {978-1-60558-929-9},
 location = {Atlanta, Georgia, USA},
 pages = {1195--1198},
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 doi = {http://doi.acm.org/10.1145/1753326.1753504},
 acmid = {1753504},
 publisher = {ACM},
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 keywords = {affect, annotation, debate, journalism, sentiment, tv, video},
} 


@inproceedings{WhyWeTwitter,
 author = {Java, Akshay and Song, Xiaodan and Finin, Tim and Tseng, Belle},
 title = {Why we twitter: understanding microblogging usage and communities},
 booktitle = {Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis},
 year = {2007},
 isbn = {978-1-59593-848-0},
 pages = {56--65},
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 publisher = {ACM},
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@inproceedings{transactional,
    author = {Indika Kah and Jennifer Neville},
    title = {Using Transactional Information to Predict Link Strength in Online Social Networks},
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    year = {2009}
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@inproceedings{SocialTies,
 author = {Xiang, Rongjing and Neville, Jennifer and Rogati, Monica},
 title = {Modeling relationship strength in online social networks},
 booktitle = {Proceedings of the 19th international conference on World wide web},
 series = {WWW '10},
 year = {2010},
 isbn = {978-1-60558-799-8},
 location = {Raleigh, North Carolina, USA},
 pages = {981--990},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1772690.1772790},
 doi = {http://doi.acm.org/10.1145/1772690.1772790},
 acmid = {1772790},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {homophily, randomization, social influence, social networks},
} 



@proceedings{SOMA10,
	author={L. Hong and B. D. Davison},
	title={Empirical Study of Topic Modeling in Twitter},
	booktitle={Proceedings of Workshop on Social Media Analytics (SOMA 2010)},
	year={2010},
	location={Washington, DC., USA}
}


@MISC{TwitterSize,
AUTHOR=" D' Technology Weblog",
NOTE = "Twitter is path to 10 billion tweets and Twitter addiction infographics. \url{http://www.ditii.com/2010/04/03/twitters-path-to-10-billion-tweets-and-twitter-addiction-infographics/}",
YEAR={2010}
}

@inproceedings{WebPersonalization,
 author = {Hofgesang, Peter I.},
 title = {Web Personalisation Through Incremental Individual Profiling and Support-based User Segmentation},
 booktitle = {Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence},
 series = {WI '07},
 year = {2007},
 isbn = {0-7695-3026-5},
 pages = {213--220},
 numpages = {8},
 url = {http://dx.doi.org/10.1109/WI.2007.111},
 doi = {http://dx.doi.org/10.1109/WI.2007.111},
 acmid = {1331838},
 publisher = {IEEE Computer Society},
 address = {Washington, DC, USA},
 keywords = {Incremental web mining, user profiling, clustering.},
} 


@inproceedings{costSensitive,

author={C.X. Ling and V.S. Sheng},
title={Cost-sensitive Learning and the Class Imbalanced Problem},
booktitle={Encyclopedia of Machine Learning},
publisher={Springer},
year={2007}
}

