Listen to me - Evaluating the influence of micro-blogs

Decision Support Systems

Volumn 62, Issue , 2014, Pages 119-130

  Li, Feng ^a   Du, Timon C ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Micro blog; Opinion leader; Persuasiveness analysis; Social networks

Indexed keywords

SOCIAL NETWORKING (ONLINE);

INFORMATION SHARING; MICRO-BLOG; OPINION LEADERS; PERSUASIVENESS ANALYSIS; SPAMMERS; SUBNETS;

BLOGS;

EID: 84900560924     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2014.03.008     Document Type: Article

References (53)

1. S. Asur, and B.A. Huberman Predicting the future with social media Proc. IEEE/WIC/ACM Int'l Conf. Web Intelligence and Intelligent Agent Technology (WI-IAT' 10) 2010 492 499
2. F. Benevenuto, G. Magno, T. Rodrigues, and V. Almeida Detecting spammers on Twitter Proc. 7th Ann. Collaboration, Electronic Messaging, Anti-Abuse and Spam Conf. (CEAS 2010) 2010
3. C.J.C. Burges A tutorial on support vector machines for pattern recognition Data Mining and Knowledge Discovery 2 1998 121 167 (Pubitemid 128695475)
4. D. Boyd, S. Golder, and G. Lotan Tweet, tweet, retweet: conversational aspects of retweeting on Twitter Proc. Hawaii Int'l Conf. System Sciences (HICSS) 2010 1 10
5. L.V. Casalo, C. Flavian, and M. Guinaliu Relationship quality, community promotion and brand loyalty in virtual communities: evidence from free software communities International Journal of Information Management 30 4 2010 357 367
6. W. Chen, Y. Wang, and S. Yang Efficient influence maximization in social networks Proc. 15th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD' 09) 2009 199 208
7. N.A. Diakopoulos, and D.A. Shamma Characterizing debate performance via aggregated Twitter sentiment Proc. the 28th Int'l Conf. Human Factors in Computing Systems (CHI 2010) 2010 1195 1198
8. P. Domingos, and M. Richardson Mining the network value of customers Proc. 7th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD' 01) 2001 57 66
9. K. Ehrlich, and N.S. Shami Microblogging inside and outside the workplace Proc. Int'l AAAI Conf. Weblogs and Social Media (ICWSM 2010) 2010
10. R.E. Fan, P.H. Chen, and C.J. Lin Working set selection using second order information for training support vector machines Journal of Machine Learning Research 6 2005 1889 1918
11. E. Fischer, and A.R. Reuber Social interaction via new social media: (how) can interactions on Twitter affect effectual thinking and behavior? Journal of Business Venturing 26 2011 1 18
12. L.C. Freeman Centrality in social networks: conceptual clarification Social Networks 1 3 1979 215 239
13. N.E. Friedkin, and E.C. Johnsen Social positions in influence networks Social Networks 19 3 1997 209 222 (Pubitemid 127162615)
14. A. Galstyan, V. Musoyan, and P. Cohen Maximizing influence propagation in networks with community structure Physical Review E 79 5 2009 056102
15. D. Gayo-Avello Nepotistic relationships in Twitter and their impact on rank prestige algorithms Information Processing and Management 49 6 2013 1250 1280
16. A. Goyal, F. Bonchi, and L.V.S. Lakshmanan Learning influence probabilities in social networks Proc. 3rd ACM Int'l Conf. Web Search and Data Mining (WSDM' 10) 2010 241 250
17. C. Honeycutt, and S.C. Herring Beyond microblogging: conversation and collaboration via Twitter Proc. Hawaii Int'l Conf. System Sciences (HICSS-42) 2009 1 10
18. B.A. Huberman, D.M. Romero, and F. Wu Social networks that matter: Twitter under the microscope 2009 http://journals.uic.edu/ojs/index.php/fm/ article/view/2317 Volume 14, Number 1-5 January 2009.
19. A.L. Hughes, and L. Palen Twitter adoption and use in mass convergence and emergency events International Journal of Emergency Management 6 3/4 2009 248 260
20. B.J. Jansen, M. Zhang, K. Sobel, and A. Chowdury Twitter power: tweets as electronic word of mouth Journal of the American Society for Information Science and Technology 60 11 2009 2169 2188
21. A. Java, X. Song, T. Finin, and B. Tseng Why we Twitter: understanding microblogging usage and communities Proc. ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD) 2007 56 65 (Pubitemid 351665610)
22. A.M. Kaplan, and M. Haenlein Users of the world, unite! The challenges and opportunities of social media Business Horizons 53 1 2010 59 68
23. D. Kempe, J. Kleinberg, and E. Tardos Maximizing the spread of influence through a social network Proc. 9th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD' 03) 2003 137 146
24. M. Kimura, K. Saito, R. Nakano, and H. Motoda Extracting influential nodes on a social network for information diffusion Data Mining and Knowledge Discovery 20 1 2010 70 97
25. S. Kirkpatrick, C.D. Gelatt Jr.; and M.P. Vecchi Optimization by simulated annealing Science 220 4598 1983 671 680
26. C. Kiss, and M. Bichler Identification of influencers - measuring influence in customer networks Decision Support Systems 46 1 2008 233 253
27. B. Krishnamurthy, P. Gill, and M. Arlitt A few chirps about Twitter Proc. the 1st Workshop on Online Social Networks (WOSP' 08) 2008 19 24
28. H. Kwak, C. Lee, H. Park, and S. Moon What is Twitter, a social network or a news media? Proc. the 19th Int'l Conf. World Wide Web (WWW' 10) 2010 591 600
29. E.A. Leicht, and M.E.J. Newman Community structure in directed networks Physical Review Letters 100 11 2008 (118703-1-118703-4)
30. K. Lerman, and R. Ghosh Information contagion: an empirical study of the spread of news on Digg and Twitter social networks Proc. 4th Int'l AAAI Conf. Weblogs and Social Media (ICWSM-10) 2010
31. J. Letierce, A. Passant, S. Decker, and J.G. Breslin Understanding how Twitter is used to spread scientific messages Proc. Web Science Conference (WebSci' 10) 2010
32. F. Li, and T.C. Du Who is talking? An ontology-based opinion leader identification framework for word-of-mouth marketing in online social networks Decision Support Systems 51 1 2011 190 197
33. C.C. Miller. Dell Says it has Earned $3 Million from Twitter. New York Times. http://bits.blogs.nytimes.com/2009/06/12/dell-has-earned-3-million- from-twitter/. 2009
34. M.R. Morris, J. Teevan, and K. Panovich What do people ask their social networks, and why? A survey study of status message Q&A behavior Proc. Int'l Conf. Human Factors in Computing Systems (CHI' 10) 2010 1739 1748
35. M. Naaman, J. Boase, and C.H. Lai Is it really about Me? Message content in social awareness streams Proc. ACM Conf. Computer Supported Cooperative Work (CSCW 2010) 2010 189 192
36. M.E.J. Newman Modularity and community structure in networks PNAS 203 23 2006 8577 8582 (Pubitemid 43878062)
37. Y. Ni, L. Xie, and Z.Q. Liu Minimizing the expected complete influence time of a social network Information Sciences 180 2010 2514 2527
38. B. Nonnecke, D. Andrews, and J. Preece Non-public and public online community participation: needs, attitudes and behavior Electronic Commerce Research 6 1 2006 7 20 (Pubitemid 43492966)
39. B. O'Connor, R. Balasubramanyan, B.R. Routledge, and N.A. Smith From tweets to polls: linking text sentiment to public opinion time series Proc. Int'l AAAI Conf. Weblogs and Social Media 2010 1 8
40. A. Oulasvirta, E. Lehtonen, E. Kurvinen, and M. Raento Making the ordinary visible in microblogs Personal and Ubiquitous Computing 14 3 2010 237 249
41. J.E. Phelps, R. Lewis, L. Mobilio, D. Perry, and N. Raman Viral marketing or electronic word-of-mouth advertising: examining consumer responses and motivations to pass along email Journal of Advertising Research 44 4 2004 333 348 (Pubitemid 41271528)
42. R. Reisner. Comcast's Twitter Man. BloombergBusinessweek. http://www.businessweek.com/managing/content/jan2009/ca20090113-373506.htm. 2009
43. T. Sakaki, M. Okazaki, and Y. Matsuo Earthquake shakes Twitter users: real-time event detection by social sensors Proc. Int'l Conf. World Wide Web (WWW' 10) 2010 851 860
44. D.A. Shamma, L. Kennedy, and E.F. Churchill Tweetgeist: can the Twitter timeline reveal the structure of broadcast events? Proc. the 2010 ACM Conf. Computer Supported Cooperative Work (CSCW 2010) 2010 589 594
45. K. Starbird, L. Palen, A.L. Hughes, and S. Vieweg Chatter on the red: what hazards thread reveals about the social life of microblogged information Proc. ACM Conf. Computer Supported Cooperative Work (CSCW' 10) 2010 241 250
46. J. Sutton, L. Palen, and I. Shklovski Backchannels on the front lines: emergent uses of social media in the 2007 Southern California wildfires Proc. Int'l Conf. Information Systems for Crisis Response and Management (ISCRAM 2008) 2008 1 9
47. Y. Tong, X. Wang, and H.H. Teo Understanding the intention of information contribution to online feedback systems from social exchange and motivation crowding perspectives Proceedings of the 40th Hawaii International Conference on System Sciences 2007
48. M.P. Venkatraman Opinion leaders, adopters, and communicative adopters: a role analysis Psychology and Marketing 6 1 1989 51 68
49. C. Wagner, and M. Strohmaier The wisdom in tweetonomies: acquiring latent conceptual structures from social awareness streams Proc. 3rd Int'l Semantic Search Workshop 2010
50. S. Wasserman, and K. Faust Social Network Analysis: Methods and Applications 1994 Cambridge University Press New York
51. D. Westerman, P.R. Spence, and B.V.D. Heide A social network as information: the effect of system generated reports of connectedness on credibility on Twitter Computers in Human Behavior 28 2012 199 206
52. S. Yardi, and D. Boyd Tweeting from the town square: measuring geographic local networks Proc. 4th Int'l AAAI Conf. Weblogs and Social Media (ICWSM-10) 2010
53. S. Yardi, D. Romero, G. Schoenebeck, and D. Boyd Detecting spam in a Twitter network First Monday 15 1-4 2010 (http://firstmonday.org/htbin/cgiwrap/ bin/ojs/index.php/fm/article/view/2793/2431)