-
1
-
-
10944272139
-
Friends and neighbors on the web
-
L. A. Adamic and E. Adar. Friends and neighbors on the web. Social Networks, 25:211-230, 2001.
-
(2001)
Social Networks
, vol.25
, pp. 211-230
-
-
Adamic, L.A.1
Adar, E.2
-
2
-
-
84856343452
-
Sentiment analysis of Twitter data
-
A. Agarwal, B. Xie, I. Vovsha, O. Rambow, and R. Passonneau. Sentiment analysis of Twitter data. In Proc. LSM, pages 30-38. 2011.
-
(2011)
Proc. LSM
, pp. 30-38
-
-
Agarwal, A.1
Xie, B.2
Vovsha, I.3
Rambow, O.4
Passonneau, R.5
-
3
-
-
85034054192
-
SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining
-
May
-
S. Baccianella, A. Esuli, and F. Sebastiani. SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Proc. LREC. May 2010.
-
(2010)
Proc. LREC
-
-
Baccianella, S.1
Esuli, A.2
Sebastiani, F.3
-
4
-
-
79952402158
-
Supervised random walks: Predicting and recommending links in social networks
-
L. Backstrom and J. Leskovec. Supervised random walks: Predicting and recommending links in social networks. In Proc. WSDM, pages 635-644. 2011.
-
(2011)
Proc. WSDM
, pp. 635-644
-
-
Backstrom, L.1
Leskovec, J.2
-
5
-
-
84903838398
-
Sentiment analysis of political tweets: Towards an accurate classier
-
June
-
A. Bakliwal, J. Foster, J. van der Puil, R. O'Brien, L. Tounsi, and M. Hughes. Sentiment analysis of political tweets: Towards an accurate classier. In Proc. LASM, pages 49-58. June 2013.
-
(2013)
Proc. LASM
, pp. 49-58
-
-
Bakliwal, A.1
Foster, J.2
O'Brien, R.3
Tounsi, L.4
Hughes, M.5
-
6
-
-
85113590917
-
Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena
-
J. Bollen, H. Mao, and A. Pepe. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. In Proc. ICWSM, 2011.
-
(2011)
Proc. ICWSM
-
-
Bollen, J.1
Mao, H.2
Pepe, A.3
-
7
-
-
33646421421
-
Evaluation of classiers for an uneven class distribution problem
-
Sept
-
S. Daskalaki, I. Kopanas, and N. Avouris. Evaluation of classiers for an uneven class distribution problem. Applied Articial Intelligence, 20:381-417, Sept. 2006.
-
(2006)
Applied Articial Intelligence
, vol.20
, pp. 381-417
-
-
Daskalaki, S.1
Kopanas, I.2
Avouris, N.3
-
8
-
-
85037338954
-
Generating typed dependency parses from phrase structure parses
-
M.-C. de Marnee, B. MacCartney, and C. D. Manning. Generating typed dependency parses from phrase structure parses. In Proc. LREC, pages 449-454, 2006.
-
(2006)
Proc. LREC
, pp. 449-454
-
-
De Marnee, M.-C.1
MacCartney, B.2
Manning, C.D.3
-
9
-
-
77954168866
-
Characterizing debate performance via aggregated Twitter sentiment
-
N. A. Diakopoulos and D. A. Shamma. Characterizing debate performance via aggregated Twitter sentiment. In Proc. CHI, pages 1195-1198. 2010.
-
(2010)
Proc. CHI
, pp. 1195-1198
-
-
Diakopoulos, N.A.1
Shamma, D.A.2
-
10
-
-
84874032107
-
Link prediction and recommendation across heterogeneous social networks
-
Y. Dong, J. Tang, S. Wu, J. Tian, N. V. Chawla, J. Rao, and H. Cao. Link prediction and recommendation across heterogeneous social networks. In Proc. ICDM, pages 181-190. 2012.
-
(2012)
Proc. ICDM
, pp. 181-190
-
-
Dong, Y.1
Tang, J.2
Wu, S.3
Tian, J.4
Chawla, N.V.5
Rao, J.6
Cao, H.7
-
11
-
-
34247960076
-
The strength of weak ties
-
May
-
M. S. Granovetter. The strength of weak ties. American J. Sociology, 78(6):1360-1380, May 1973.
-
(1973)
American J. Sociology
, vol.78
, Issue.6
, pp. 1360-1380
-
-
Granovetter, M.S.1
-
12
-
-
84869031526
-
Measuring tie strength in implicit social networks
-
M. Gupte and T. Eliassi-Rad. Measuring tie strength in implicit social networks. In Proc. WebSci, pages 109-118. 2012.
-
(2012)
Proc. WebSci
, pp. 109-118
-
-
Gupte, M.1
Eliassi-Rad, T.2
-
15
-
-
2442549033
-
Effects of adjective orientation and gradability on sentence subjectivity
-
V. Hatzivassiloglou and J. M. Wiebe. Effects of adjective orientation and gradability on sentence subjectivity. In Proc. COLING, pages 299-305. 2000.
-
(2000)
Proc. COLING
, pp. 299-305
-
-
Hatzivassiloglou, V.1
Wiebe, J.M.2
-
17
-
-
83055161701
-
Who will follow you back?: Reciprocal relationship prediction
-
J. Hopcroft, T. Lou, and J. Tang. Who will follow you back?: Reciprocal relationship prediction. In Proc. CIKM, pages 1137-1146. 2011.
-
(2011)
Proc. CIKM
, pp. 1137-1146
-
-
Hopcroft, J.1
Lou, T.2
Tang, J.3
-
18
-
-
77954619566
-
What is Twitter, a social network or a news media?
-
H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a social network or a news media? In Proc. WWW, pages 591-600. 2010.
-
(2010)
Proc. WWW
, pp. 591-600
-
-
Kwak, H.1
Lee, C.2
Park, H.3
Moon, S.4
-
19
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. D. Laerty, A. McCallum, and F. C. N. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. ICML, pages 282-289. 2001.
-
(2001)
Proc. ICML
, pp. 282-289
-
-
Laerty, J.D.1
McCallum, A.2
Pereira, F.C.N.3
-
21
-
-
18744398132
-
The link prediction problem for social networks
-
D. Liben-Nowell and J. Kleinberg. The link prediction problem for social networks. In Proc. CIKM, pages 556-559. 2003.
-
(2003)
Proc. CIKM
, pp. 556-559
-
-
Liben-Nowell, D.1
Kleinberg, J.2
-
23
-
-
84865656858
-
Evaluating similarity measures for emergent semantics of social tagging
-
B. Markines, C. Cattuto, F. Menczer, D. Benz, A. Hotho, and G. Stumme. Evaluating similarity measures for emergent semantics of social tagging. In Proc. WWW, pages 641-650. 2009.
-
(2009)
Proc. WWW
, pp. 641-650
-
-
Markines, B.1
Cattuto, C.2
Menczer, F.3
Benz, D.4
Hotho, A.5
Stumme, G.6
-
24
-
-
34247336908
-
HT06, tagging paper, taxonomy, Flickr, academic article, to read
-
C. Marlow, M. Naaman, D. Boyd, and M. Davis. HT06, tagging paper, taxonomy, Flickr, academic article, to read. In Proc. HYPERTEXT, pages 31-40. 2006.
-
(2006)
Proc. HYPERTEXT
, pp. 31-40
-
-
Marlow, C.1
Naaman, M.2
Boyd, D.3
Davis, M.4
-
25
-
-
0035639140
-
Birds of a feather: Homophily in social networks
-
Aug
-
M. McPherson, L. Smith-Lovin, and J. M. Cook. Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1):415-444, Aug. 2001.
-
(2001)
Annual Review of Sociology
, vol.27
, Issue.1
, pp. 415-444
-
-
McPherson, M.1
Smith-Lovin, L.2
Cook, J.M.3
-
26
-
-
0002425879
-
Loopy belief propagation for approximate inference: An empirical study
-
K. P. Murphy, Y. Weiss, and M. I. Jordan. Loopy belief propagation for approximate inference: An empirical study. In Proc. UAI, pages 467-475. 1999.
-
(1999)
Proc. UAI
, pp. 467-475
-
-
Murphy, K.P.1
Weiss, Y.2
Jordan, M.I.3
-
28
-
-
84900402288
-
On the interplay between social and topical structure
-
D. M. Romero, C. Tan, and J. Ugander. On the interplay between social and topical structure. In Proc. ICWSM, 2013.
-
(2013)
Proc. ICWSM
-
-
Romero, D.M.1
Tan, C.2
Ugander, J.3
-
29
-
-
80052653727
-
Exploiting place features in link prediction on location-based social networks
-
S. Scellato, A. Noulas, and C. Mascolo. Exploiting place features in link prediction on location-based social networks. In Proc. KDD, pages 1046-1054. 2011.
-
(2011)
Proc. KDD
, pp. 1046-1054
-
-
Scellato, S.1
Noulas, A.2
Mascolo, C.3
-
30
-
-
57349138790
-
Yes, there is a correlation: From social networks to personal behavior on the Web
-
P. Singla and M. Richardson. Yes, there is a correlation: From social networks to personal behavior on the Web. In Proc. WWW, pages 655-664. 2008.
-
(2008)
Proc. WWW
, pp. 655-664
-
-
Singla, P.1
Richardson, M.2
-
31
-
-
80052663073
-
User-level sentiment analysis incorporating social networks
-
C. Tan, L. Lee, J. Tang, L. Jiang, M. Zhou, and P. Li. User-level sentiment analysis incorporating social networks. In Proc. KDD, pages 1397-1405. 2011.
-
(2011)
Proc. KDD
, pp. 1397-1405
-
-
Tan, C.1
Lee, L.2
Tang, J.3
Jiang, L.4
Zhou, M.5
Li, P.6
-
32
-
-
80052400718
-
Learning to infer social ties in large networks
-
W. Tang, H. Zhuang, and J. Tang. Learning to infer social ties in large networks. In Proc. ECML PKDD, pages 381-397. 2011.
-
(2011)
Proc. ECML PKDD
, pp. 381-397
-
-
Tang, W.1
Zhuang, H.2
Tang, J.3
-
33
-
-
77953602186
-
Emotion homophily in social network site messages
-
M. Thelwall. Emotion homophily in social network site messages. First Monday, 15(4), 2010.
-
(2010)
First Monday
, vol.15
, Issue.4
-
-
Thelwall, M.1
-
34
-
-
78951494937
-
Sentiment in Twitter events
-
Feb
-
M. Thelwall, K. Buckley, and G. Paltoglou. Sentiment in Twitter events. J. Amer. Soc. Info. Sci. Tech., 62(2):406-418, Feb. 2011.
-
(2011)
J. Amer. Soc. Info. Sci. Tech
, vol.62
, Issue.2
, pp. 406-418
-
-
Thelwall, M.1
Buckley, K.2
Paltoglou, G.3
-
35
-
-
84858057957
-
What's in a hashtag?: Content based prediction of the spread of ideas in microblogging communities
-
O. Tsur and A. Rappoport. What's in a hashtag?: Content based prediction of the spread of ideas in microblogging communities. In Proc. WSDM, pages 643-652. 2012.
-
(2012)
Proc. WSDM
, pp. 643-652
-
-
Tsur, O.1
Rappoport, A.2
-
36
-
-
84890668120
-
Predicting elections with Twitter: What 140 characters reveal about political sentiment
-
A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Predicting elections with Twitter: What 140 characters reveal about political sentiment. In Proc. ICWSM, pages 178-185, 2010.
-
(2010)
Proc. ICWSM
, pp. 178-185
-
-
Tumasjan, A.1
Sprenger, T.O.2
Sandner, P.G.3
Welpe, I.M.4
-
37
-
-
84879771096
-
A sentiment-enhanced personalized location recommendation system
-
D. Yang, D. Zhang, Z. Yu, and Z. Wang. A sentiment-enhanced personalized location recommendation system. In Proc. HYPERTEXT, pages 119-128. 2013.
-
(2013)
Proc. HYPERTEXT
, pp. 119-128
-
-
Yang, D.1
Zhang, D.2
Yu, Z.3
Wang, Z.4
-
38
-
-
70350666656
-
Co-evolution of social and affiliation networks
-
E. Zheleva, H. Sharara, and L. Getoor. Co-evolution of social and affiliation networks. In Proc. KDD, pages 1007-1016. 2009.
-
(2009)
Proc. KDD
, pp. 1007-1016
-
-
Zheleva, E.1
Sharara, H.2
Getoor, L.3
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