-
2
-
-
84855995176
-
Twitter earthquake detection: Earthquake monitoring in a social world
-
Earle PS, Bowden DC, Guy M. Twitter earthquake detection: earthquake monitoring in a social world. Ann Geophys -Italy. 2011;54(6):708-715. doi: 10.4401/ag-5364.
-
(2011)
Ann GeophysItaly
, vol.54
, Issue.6
, pp. 708-715
-
-
Earle, P.S.1
Bowden, D.C.2
Guy, M.3
-
3
-
-
77950541070
-
Earthquake twitter
-
Earle P. Earthquake Twitter. Nat Geosci. 2010;3(4):221-2. doi: 10.1038/ngeo832.
-
(2010)
Nat Geosci.
, vol.3
, Issue.4
, pp. 221-222
-
-
Earle, P.1
-
4
-
-
84922802451
-
Using twitter sentiment to forecast the 2013 Pakistani election and the 2014 Indian election
-
Kagan V, Stevens A, Subrahmanian VS. Using Twitter Sentiment to Forecast the 2013 Pakistani Election and the 2014 Indian Election. IEEE Intell. Syst. 2015;30(1):2-5.
-
(2015)
IEEE Intell. Syst.
, vol.30
, Issue.1
, pp. 2-5
-
-
Kagan, V.1
Stevens, A.2
Subrahmanian, V.S.3
-
5
-
-
84894459955
-
Mining twitter big data to predict 2013 Pakistan election winner
-
Mahmood T, Iqbal T, Amin F, Lohanna W, Mustafa A. Mining Twitter Big Data to Predict 2013 Pakistan Election Winner. 2013 16th International Multi Topic Conference (INMIC). 2013:49-54.
-
(2013)
2013 16th International Multi Topic Conference (INMIC)
, pp. 49-54
-
-
Mahmood, T.1
Iqbal, T.2
Amin, F.3
Lohanna, W.4
Mustafa, A.5
-
6
-
-
84893568611
-
Twitter public opinion and the 2011 Nigerian presidential election
-
Fink C, Bos N, Perrone A, Liu E, Kopecky J. Twitter, Public Opinion, and the 2011 Nigerian Presidential Election. 2013 ASE/IEEE International Conference on Social Computing (Socialcom). 2013:311-20. doi: 10.1109/SocialCom.2013.50.
-
(2013)
2013 ASE/IEEE International Conference on Social Computing (Socialcom)
, pp. 311-320
-
-
Fink, C.1
Bos, N.2
Perrone, A.3
Liu, E.4
Kopecky, J.5
-
7
-
-
84946594788
-
The effects of twitter sentiment on stock price returns
-
Ranco G, Aleksovski D, Caldarelli G, Grcar M, Mozetic I. The Effects of Twitter Sentiment on Stock Price Returns. PLoS One. 2015;10(9). doi: ARTN e013844110.1371/journal.pone.0138441.
-
(2015)
PLoS One.
, vol.10
, Issue.9
-
-
Ranco, G.1
Aleksovski, D.2
Caldarelli, G.3
Grcar, M.4
Mozetic, I.5
-
8
-
-
84929675571
-
Social media as a sensor of air quality and public response in China
-
Wang S, Paul MJ, Dredze M. Social media as a sensor of air quality and public response in China. Journal of Medical Internet research. 2015;17(3):e22. doi: 10.2196/jmir.3875.
-
(2015)
Journal of Medical Internet Research.
, vol.17
, Issue.3
, pp. e22
-
-
Wang, S.1
Paul, M.J.2
Dredze, M.3
-
9
-
-
84901906820
-
A largescale quantitative analysis of latent factors and sentiment in online doctor reviews
-
Wallace BC, Paul MJ, Sarkar U, Trikalinos TA, Dredze M. A largescale quantitative analysis of latent factors and sentiment in online doctor reviews. J Am Med Inform Assoc. 2014;21(6):1098-103. doi: 10.1136/amiajnl-2014-002711.
-
(2014)
J Am Med Inform Assoc.
, vol.21
, Issue.6
, pp. 1098-1103
-
-
Wallace, B.C.1
Paul, M.J.2
Sarkar, U.3
Trikalinos, T.A.4
Dredze, M.5
-
11
-
-
84855664643
-
Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak
-
Chunara R, Andrews JR, Brownstein JS. Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. The American Journal of Tropical Medicine and Hygiene. 2012;86(1):39-45. doi: 10.4269/ajtmh.2012.11-0597.
-
(2012)
The American Journal of Tropical Medicine and Hygiene.
, vol.86
, Issue.1
, pp. 39-45
-
-
Chunara, R.1
Andrews, J.R.2
Brownstein, J.S.3
-
12
-
-
84861052088
-
Towards personalized learning to rank for epidemic intelligence based on social media streams
-
Diaz-Aviles E, Stewart A, Velasco E, Denecke K, Nejdl W. Towards personalized learning to rank for epidemic intelligence based on social media streams. Proceedings of the 21st International Conference on World Wide Web 2012. p. 495-6.
-
(2012)
Proceedings of the 21st International Conference on World Wide Web
, pp. 495-496
-
-
Diaz-Aviles, E.1
Stewart, A.2
Velasco, E.3
Denecke, K.4
Nejdl, W.5
-
13
-
-
84893233396
-
Dengue surveillance based on a computational model of spatiotemporal locality of Twitter
-
Gomide J, Veloso A, Wagner Meira J, Almeida V, Benevenuto F, Ferraz F et al. Dengue surveillance based on a computational model of spatiotemporal locality of Twitter. ACM Web Science Conference (WebSci) 2011. p. 1-8.
-
(2011)
ACM Web Science Conference (WebSci)
, pp. 1-8
-
-
Gomide, J.1
Veloso, A.2
Wagner Meira, J.3
Almeida, V.4
Benevenuto, F.5
Ferraz, F.6
-
14
-
-
84937499054
-
Twitter improves influenza forecasting
-
Paul MJ, Dredze M, Broniatowski D. Twitter improves influenza forecasting. PLoS Curr. 2014; 6. doi: 10.1371/currents.outbreaks.90b9ed0f59bae4ccaa683a39865d9117.
-
(2014)
PLoS Curr.
, pp. 6
-
-
Paul, M.J.1
Dredze, M.2
Broniatowski, D.3
-
15
-
-
84891941337
-
National and local influenza surveillance through Twitter: An analysis of the 2012-2013 influenza epidemic
-
Broniatowski DA, Paul MJ, Dredze M. National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic. PLoS One. 2013;8(12):e83672. doi: 10.1371/journal.pone.0083672.
-
(2013)
PLoS One.
, vol.8
, Issue.12
, pp. e83672
-
-
Broniatowski, D.A.1
Paul, M.J.2
Dredze, M.3
-
16
-
-
80053290412
-
Twitter catches the flu: Detecting influenza epidemics using Twitter
-
Aramaki E, Maskawa S, Morita M. Twitter catches the flu: detecting influenza epidemics using Twitter. EMNLP2011. pp. 1568-1576.
-
(2011)
EMNLP
, pp. 1568-1576
-
-
Aramaki, E.1
Maskawa, S.2
Morita, M.3
-
19
-
-
84893291115
-
A framework for detecting public health trends with Twitter
-
Parker J, Wei Y, Yates A, Frieder O, Goharian N. A framework for detecting public health trends with Twitter. Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2013. pp. 556-563.
-
(2013)
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
, pp. 556-563
-
-
Parker, J.1
Wei, Y.2
Yates, A.3
Frieder, O.4
Goharian, N.5
-
20
-
-
84907245332
-
Modeling the impact of Twitter on influenza epidemics
-
Pawelek KA, Oeldorf-Hirsch A, Rong L. Modeling the impact of Twitter on influenza epidemics. Math Biosci. Eng. 2014;11(6):1337-56. doi: 10.3934/mbe.2014.11.1337.
-
(2014)
Math Biosci. Eng.
, vol.11
, Issue.6
, pp. 1337-1356
-
-
Pawelek, K.A.1
Oeldorf-Hirsch, A.2
Rong, L.3
-
21
-
-
84910107444
-
A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives
-
Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R et al. A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives. Journal of Medical Internet Research. 2014;16(10):e236. doi: 10.2196/jmir.3416.
-
(2014)
Journal of Medical Internet Research.
, vol.16
, Issue.10
, pp. e236
-
-
Nagar, R.1
Yuan, Q.2
Freifeld, C.C.3
Santillana, M.4
Nojima, A.5
Chunara, R.6
-
22
-
-
84891813761
-
Influenza-like illness surveillance on Twitter through automated learning of naive language
-
Gesualdo F, Stilo G, Agricola E, Gonfiantini MV, Pandolfi E, Velardi P et al. Influenza-like illness surveillance on Twitter through automated learning of naive language. PLoS One. 2013;8(12):e82489. doi: 10.1371/journal.pone.0082489.
-
(2013)
PLoS One.
, vol.8
, Issue.12
, pp. e82489
-
-
Gesualdo, F.1
Stilo, G.2
Agricola, E.3
Gonfiantini, M.V.4
Pandolfi, E.5
Velardi, P.6
-
23
-
-
84880826012
-
Use of hangeul Twitter to track and predict human influenza infection
-
Kim EK, Seok JH, Oh JS, Lee HW, Kim KH. Use of hangeul Twitter to track and predict human influenza infection. PLoS One. 2013;8(7):e69305. doi: 10.1371/journal.pone.0069305.
-
(2013)
PLoS One.
, vol.8
, Issue.7
, pp. e69305
-
-
Kim, E.K.1
Seok, J.H.2
Oh, J.S.3
Lee, H.W.4
Kim, K.H.5
-
24
-
-
79955757514
-
The use of twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic
-
Signorini A, Segre AM, Polgreen PM. The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic. PLoS One. 2011;6(5):e19467. doi: 10.1371/journal.pone.0019467.
-
(2011)
PLoS One.
, vol.6
, Issue.5
, pp. e19467
-
-
Signorini, A.1
Segre, A.M.2
Polgreen, P.M.3
-
26
-
-
84947256159
-
Using social media for actionable disease surveillance and outbreak management: A systematic literature review
-
Charles-Smith LE, Reynolds TL, Cameron MA, Conway M, Lau EHY, Olsen JM et al. Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review. PLoS One. 2015;10(10). doi: ARTN e013970110.1371/journal.pone.0139701.
-
(2015)
PLoS One
, vol.10
, Issue.10
-
-
Charles-Smith, L.E.1
Reynolds, T.L.2
Cameron, M.A.3
Conway, M.4
Lau, E.H.Y.5
Olsen, J.M.6
-
27
-
-
84861991954
-
Twitter improves seasonal influenza prediction
-
Achrekar H, Gandhe A, Lazarus R, Yu S, Liu B. Twitter improves seasonal influenza prediction. SciTePress. 2012:61-70.
-
(2012)
SciTePress.
, pp. 61-70
-
-
Achrekar, H.1
Gandhe, A.2
Lazarus, R.3
Yu, S.4
Liu, B.5
-
29
-
-
84943739974
-
Who caught a cold? -Identifying the subject of a symptom
-
Kanouchi S, Komachi M, Okazaki N, Aramaki E, Ishikawa H. Who caught a cold? -Identifying the subject of a symptom. Association for Computational Linguistics 2015. pp. 1660-1670.
-
(2015)
Association for Computational Linguistics
, pp. 1660-1670
-
-
Kanouchi, S.1
Komachi, M.2
Okazaki, N.3
Aramaki, E.4
Ishikawa, H.5
-
33
-
-
84876796328
-
Geolocation prediction in social media data by finding location indicative words
-
Han B, Cook P, Baldwin T, editors. Geolocation prediction in social media data by finding location indicative words. COLING; 2012.
-
(2012)
COLING
-
-
Han, B.1
Cook, P.2
Baldwin, T.3
-
39
-
-
84874240262
-
Nonlinear spread of rumor and inoculation strategies in the nodes with degree dependent tie strength in complex networks
-
Singh A, Singh YN. Nonlinear Spread of Rumor and Inoculation Strategies in the Nodes with Degree Dependent Tie Strength in Complex Networks. Acta Phys. Pol. B. 2013;44(1):5-28. doi: 10.5506/APhysPolB.44.5.
-
(2013)
Acta Phys. Pol. B.
, vol.44
, Issue.1
, pp. 5-28
-
-
Singh, A.1
Singh, Y.N.2
-
40
-
-
29344439866
-
The spread of a rumor or infection in a moving population
-
Kesten H, Sidoravicius V. The spread of a rumor or infection in a moving population. Ann Probab. 2005;33(6):2402-62. doi: 10.1214/009117905000000413.
-
(2005)
Ann Probab.
, vol.33
, Issue.6
, pp. 2402-2462
-
-
Kesten, H.1
Sidoravicius, V.2
-
41
-
-
84944254692
-
Combating rumor spread on social media: The effectiveness of refutation and warning
-
Ozturk P, Li HY, Sakamoto Y. Combating Rumor Spread on Social Media: The Effectiveness of Refutation and Warning. P Ann Hicss. 2015:2406-14. doi: 10.1109/Hicss.2015.288.
-
(2015)
P Ann Hicss.
, pp. 2406-2414
-
-
Ozturk, P.1
Li, H.Y.2
Sakamoto, Y.3
|