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Encyclopedia of Social Network Analysis and Mining pp 1212–1218Cite as

Opinion Diffusion and Analysis on Social Networks

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Synonyms

Opinion mining; Preference propagation; Sentiment detection and analysis; Topic information diffusion

Glossary

Microblogging :

A broadcast medium in the form of blogging

Diffusion :

The process by which a new idea or new product is accepted by people

Sentiment :

Feelings and emotions

Preference :

An individual’s attitude toward a set of objects

Introduction

With the bloom of the social networking and microblogging services, such as Facebook, Twitter, and LinkedIn, people can easily express their feelings and share ideas with friends. Through these services, messages posted by some persons can be seen, responded, or even broadcasted by others. It can be viewed as that through a social network service, opinions and the useful information are propagated from one to the other. With the time proceeds, opinions can be spread and evolved in a social network.

In this entry, we aim to review a number of studies discussing opinion detection, spread, and change on social networks. The...

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References

  • Barbosa L, Feng Robust J (2010) Sentiment detection on twitter from biased and noisy data. In proceedings of international conference on computational linguistics COLING, Mumbai, pp 36–44

    Google Scholar 

  • Bartholdi JJ, Tovey CA, Trick MA (1992) How hard is it to control an election. Math Comput Model 16:8–9, 27–40

    MathSciNet  Google Scholar 

  • Bermingham A, Smeaton AF (2010) Classifying sentiment in microblogs: is brevity an advantage? In: Proceedings of acm international conference on information and knowledge management CIKM, Toronto, pp 1183–1186

    Google Scholar 

  • Bifet A, Frank E (2010) Sentiment knowledge discovery in twitter streaming data. In: Proceedings of international conference on discovery science (DS’10), Canberra, pp 1–15

    Google Scholar 

  • Bollen J, Pepe A, Mao H (2010) Modeling public mood and emotion: twitter sentiment and socio-economic phenomena. In: Proceedings of acm international world wide web conference WWW, Raleigh

    Google Scholar 

  • Budak C, Agrawal D, Abbadi AE (2011) Limiting the spread of misinformation in social networks. In: Proceedings of ACM international world wide web conference WWW, Hyderabad, pp 665–674

    Google Scholar 

  • Calais P, Veloso A, Meira W Jr, Almeida V (2011) From bias to opinion: a transfer-learning approach to real-time sentiment analysis. In: Proceedings of ACM SIGKDD international conference on knowledge discovery and data mining KDD, San Diego

    Google Scholar 

  • Chen W, Collins A, Cummings R, Ke T, Liu Z, Rincon D, Sun X, Wang Y, Wei W, Yuan Y (2011) Influence maximization in social networks when negative opinions may emerge and propagate. In: Proceedings of SIAM international conference on data mining SDM, Mesa, pp 379–390

    Google Scholar 

  • Davidov D, Tsur O, Rappoport A (2010) Enhanced sentiment learning using twitter hashtags and smileys. In: Proceedings of international conference on computational linguistics COLING, Mumbai, pp 241–249

    Google Scholar 

  • Erdos D, Ishakian V, Lapets A, Terzi E, Bestavros A (2012) The filter-placement problem and its application to minimizing information multiplicity. In: Proceedings of the VLDB endowment PVLDB, Istanbul, vol 5, no 5, pp 418–429

    Google Scholar 

  • Esuli A, Sebastiani F (2006) SentiWordNet: a publicly available lexical resource for opinion mining. In: Proceedings of LREC, Genoa

    Google Scholar 

  • Fei H, Jiang R, Yang Y, Luo B, Huan J (2011) Content based social behavior prediction: a multi-task learning approach. In: Proceedings of ACM international conference on information and knowledge management CIKM, Glasgow

    Google Scholar 

  • Galuba W, Aberer K, Chakraborty D, Despotovic Z, Kellerer W (2010) Outtweeting the twitterers – predicting information cascades in microblogs. In: Proceedings of international conference on online social networks, Boston, MA, USA

    Google Scholar 

  • Gibbard A (1973) Manipulation of voting schemes: a general result. Econometrica 41(4):587601

    MathSciNet  Google Scholar 

  • Go A, Bhayani R, Huang L (2009) Twitter sentiment classification using distant supervision. Technical report, Stanford University

    Google Scholar 

  • Jiang L, Yu M, Zhou M, Liu X, Zhao T (2011) Target- dependent twitter sentiment classification. In: Proceedings of annual meeting of the association for computational linguistics ACL 2011, Portland

    Google Scholar 

  • Kempe D, Kleinberg J, Tardos E (2003) Maximizing the spread of influence through a social network. In: Proceedings of ACM SIGKDD international conference on knowledge discovery and data mining KDD, Washington, DC

    Google Scholar 

  • Kim S-M, Hovy E (2004) Determining the sentiment of opinions. In: Proceedings of coling, Geneva

    Google Scholar 

  • Kimura M, Saito K, Motoda H (2009) Blocking links to minimize contamination spread in a social network. ACM Trans Knowl Discov Data TKDD 3(2):9

    Google Scholar 

  • Kuo T-T, Hong S-C, Lin W-S, Peng N, Lin S-D, Lin W-F (2012) Exploiting latent information to predict diffusions of novel topics on social networks. In: Proceedings of annual meeting of the association for computational linguistics ACL, Jeju Island

    Google Scholar 

  • Lappas T, Terzi E, Gunopulos D, Mannila H (2010) Finding effectors in social networks. In: Proceedings of ACM SIGKDD international conference on knowledge discovery and data mining KDD, Washington, DC, pp 1059–1068

    Google Scholar 

  • Leskovec J, Krause A, Guestrin C, Faloutsos C, Van-Briesen J, Glance N (2007) Cost-effective outbreak detection in networks. In: Proceedings of ACM SIGKDD international conference on knowledge discovery and data mining KDD, San Jose, pp 420–429

    Google Scholar 

  • Li S, Zheng L, Ren X, Cheng X (2009) Emotion mining research on microblog. In: Proceedings of IEEE symposium on web society, Shuo Chen, PP 71–75

    Google Scholar 

  • Li C-T, Wang C-Y, Tseng C-L, Lin S-D (2011) Meme- Tube: a sentiment-based audiovisual system for analyzing and displaying microblog messages. In: Proceedings of annual meeting of the association for computational linguistics ACL, Portland

    Google Scholar 

  • Lin CX, Mei QZ, Jiang YL, Han JW, Qi SX (2011) Inferring the diffusion and evolution of topics in social communities. In: Proceedings of the IEEE international conference on data mining, Vancouver

    Google Scholar 

  • Liu FC (2009) Modeling political individuals using the agent-based approach: a preliminary case study on political experts and their limited influence within communication networks. J Comput 19(4):819

    Google Scholar 

  • Lou J-K, Wang F-M, Tsai C-H, Hong S-C, Kung P-H, Lin S-D (2013) Modeling the diffusion of preferences on social networks. In: Proceedings of SIAM international conference on data mining SDM, Austin

    Google Scholar 

  • Pak A, Paroubek P (2010) Twitter as a corpus for sentiment analysis and opinion mining. In: Proceedings of international conference on language resources and evaluation LREC, Valletta, pp 1320–1326

    Google Scholar 

  • Pang B, Lee L (2004) A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of annual meeting of the association for computational linguistics ACL, Barcelona, pp 271–278

    Google Scholar 

  • Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr 2(1–2): 1–135

    Google Scholar 

  • Petrovic S, Osborne M, Lavrenko V (2011) RT to win! Predicting message propagation in twitter. In: Proceedings of international AAAI conference on weblogs and social media ICWSM, Barcelona

    Google Scholar 

  • Read J (2005) Using emoticons to reduce dependency in machine learning techniques for sentiment classification. In: Proceedings of annual meeting of the association for computational linguistics ACL 2005, University of Michigan

    Google Scholar 

  • Riley C (2009) Emotional classification of twitter messages. Technical report, UC Berkeley

    Google Scholar 

  • Satterthwaite MA (1975) Strategy-proofness and arrow’s conditions: existence and correspondence theorems for voting procedures and social welfare functions. J Econ Theory 10(2):187–217

    MATH  MathSciNet  Google Scholar 

  • Scripps J, Tan P-N, Esfahanian A-H (2007) Node roles and community structure in networks. In: Proceedings of ACM SIGKDD international workshop on social network analysis SNA-KDD, Paris, pp 26–35

    Google Scholar 

  • Singer Y (2012) How to win friends and influence people, truthfully: influence maximization mechanisms for social networks. In: Proceedings of ACM international conference on web search and data mining WSDM, Seattle, pp 733–742

    Google Scholar 

  • Sun YT, Chen CL, Liu CC, Liu CL, Soo VW (2010) Sentiment classification of short chinese sentences. In: Proceedings of conference on computational linguistics and speech processing rocling, Nantou, pp 184–198

    Google Scholar 

  • Yoo S, Yang Y, Lin F, Moon I-C (2009) Mining social networks for personalized email prioritization. In: Proceedings of ACM SIGKDD international conference on knowledge discovery and data mining KDD, Paris, pp 967–976

    Google Scholar 

  • Zhu J, Xiong F, Piao D, Liu Y, Zhang Y (2011) Statistically modeling the effectiveness of disaster information in social media. In: Proceedings of IEEE global humanitarian technology conference, Seattle

    Google Scholar 

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Author information

Authors and Affiliations

  1. Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan

    Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo & Shou-De Lin

Authors
  1. Cheng-Te Li
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  2. Hsun-Ping Hsieh
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  3. Tsung-Ting Kuo
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  4. Shou-De Lin
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

  2. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Jon Rokne

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Li, CT., Hsieh, HP., Kuo, TT., Lin, SD. (2014). Opinion Diffusion and Analysis on Social Networks. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_379

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