Bonacich P. (1972) ‘‘Technique for analyzing overlapping memberships,’’ Sociological
Methodology, 4 , 176-185.
Bonacich P. (1987) ‘‘Power and centrality: A family of measures,’’American Journal of Sociology,
92 (5), 1170–1182.
Chakrabarti S.; Dom B.; Agrawal R.; Raghavan P. (1998) ‘‘Scalable feature selection,
classification and signature generation for organizing large text databases into hierarchical
topic taxonomies,’’The VLDB Journal, Springer.
Das S.; Chen M. (2007) ‘‘Yahoo for Amazon! Sentiment extraction from small talk on the web,’’
Management Science, 53 , 1375–1388.
Das S.; Martinez-Jerez A.; Tufano P. (2005) ‘‘eInformation: A clinical study of investor discussion
and sentiment,’’Financial Management, 34 (5), 103–137.
Das S.; Sisk J. (2005) ‘‘Financial communities,’’Journal of Portfolio Management, 31 (4), 112–123.
DeMarzo P.; Vayanos D.; Zwiebel J. (2003) ‘‘Persuasion bias, social influence, and uni-
dimensional opinions,’’Quarterly Journal of Economics, 118 , 909–968.
Edwards J.; McCurley K.; Tomlin J. (2001) ‘‘An adaptive model for optimizing performance of an
incremental web crawler,’’ paper presented atProceedings WWW10, Hong Kong, pp. 106–113.
Ellison G.; Fudenberg D. (1995) ‘‘Word of mouth communication and social learning,’’Quarterly
Journal of Economics, 110 , 93–126.
Fortunato S. (2010) ‘‘Community detection in graphs,’’Physics Reports, 486 , 75–174.
Godes D.; Mayzlin D.; Chen Y.; Das S.; Dellarocas C.; Pfeiffer B.; Libai B.; Sen S.; Shi M.;
Verlegh P. (2005) ‘‘The firm’s management of social interactions,’’Marketing Letters. 16 ,
415–428.
Graham P. (2004)Hackers and Painters, O’Reilly Media, Sebastopol, CA.
Hochberg Y.; Ljungqvist A.; Lu Y. (2007) ‘‘Whom you know matters: Venture capital networks
and investment performance,’’Journal of Finance, 62 (1), 251–301.
Joachims T. (1999) ‘‘Making large-scale SVM learning practical,’’ in B. Scholkopf, C. Burges,
A. Smola (Eds.),Advances in Kernel Methods: Support Vector Learning, MIT Press.
Koller D.; Sahami M. (1997) ‘‘Hierarchically classifying documents using very few words,’’ paper
presented atInternational Conference on Machine Learning, Vol. 14, Morgan-Kaufmann, San
Mateo, CA.
Koller D. (2009)Probabilistic Graphical Models, MIT Press.
Leinweber D.; Sisk J. (2010) ‘‘Relating news analytics to stock returns,’’ mimeo, Leinweber & Co.
See also this volume, Chapter 6.
Levy S. (2010) ‘‘How Google’s algorithm rules the web,’’Wired, March.
Li F. (2006)Do Stock Market Investors Understand the Risk Sentiment of Corporate Annual
Reports?, Working Paper, University of Michigan.
McCallum A. (1996) ‘‘Bow: A toolkit for statistical language modeling, text retrieval, classification
and clustering,’’http://www.cs.cmu.edu/mccallum/bow
Mitchell T. (1997)Machine Learning, McGraw-Hill.
Mitra L.; Mitra G.; diBartolomeo D. (2008)Equity Portfolio Risk (Volatility) Estimation Using
Market Information and Sentiment, Working Paper, Brunel University.
MorvilleP.(2005)Ambient Findability, O’Reilly Media, Sebastopol, CA.
Neal R. (1996)Bayesian Learning for Neural Networks, Lecture Notes in Statistics Vol. 118,
Springer.
Pang B.; Lee L.; Vaithyanathan S. (2002) ‘‘Thumbs up? Sentiment classification using machine
learning techniques,’’ paper presented atProceedings Conference on Empirical Methods in
Natural Language Processing (EMNLP).
Pons P.; Latapy M. (2006) ‘‘Computing communities in large networks using random walks,’’
Journal of Graph Algorithms Applied, 10 (2), 191–218.
Porter M. (1980) ‘‘An algorithm for suffix stripping,’’Program, 14 (3), 130–137.
Segaran T. (2007)Programming Collective Intelligence, O’Reilly Media, Sebastopol, CA.
70 Quantifying news: Alternative metrics