-
1
-
-
76049088642
-
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
-
Sinan Arala, Lev Muchnika, and Arun Sundararajan. Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. PNAS, 106(51):21544-21549, 2009.
-
(2009)
PNAS
, vol.106
, Issue.51
, pp. 21544-21549
-
-
Arala, S.1
Muchnika, L.2
Sundararajan, A.3
-
2
-
-
84876171585
-
Cross-community influence in discussion fora
-
Vclav Belak, Samantha Lam, and Conor Hayes. Cross-community influence in discussion fora. In ICWSM'12, 2012.
-
(2012)
ICWSM'12
-
-
Belak, V.1
Lam, S.2
Hayes, C.3
-
3
-
-
77951739184
-
Tweet, tweet, retweet: Conversational aspects of retweeting on twitter
-
Danah Boyd, Scott Golder, and Gilad Lotan. Tweet, tweet, retweet: Conversational aspects of retweeting on twitter. In HICSS '10, pages 1-10, 2010.
-
(2010)
HICSS '10
, pp. 1-10
-
-
Boyd, D.1
Golder, S.2
Lotan, G.3
-
4
-
-
84866619572
-
Collaborative personalized tweet recommendation
-
Kailong Chen, Tianqi Chen, Guoqing Zheng, Ou Jin, Enpeng Yao, and Yong Yu. Collaborative personalized tweet recommendation. In SIGIR '12, pages 661-670, 2012.
-
(2012)
SIGIR '12
, pp. 661-670
-
-
Chen, K.1
Chen, T.2
Zheng, G.3
Jin, O.4
Yao, E.5
Yu, Y.6
-
5
-
-
80053229463
-
An empirical study on learning to rank of tweets
-
Yajuan Duan, Long Jiang, Tao Qin, Ming Zhou, and Heung-Yeung Shum. An empirical study on learning to rank of tweets. In COLING '10, pages 295- 303, 2010.
-
(2010)
COLING '10
, pp. 295-303
-
-
Duan, Y.1
Jiang, L.2
Qin, T.3
Zhou, M.4
Shum, H.-Y.5
-
6
-
-
77950933438
-
Learning influence probabilities in social networks
-
Amit Goyal, Francesco Bonchi, and Laks V.S. Lakshmanan. Learning influence probabilities in social networks. In WSDM'10, pages 241-250, 2010.
-
(2010)
WSDM'10
, pp. 241-250
-
-
Goyal, A.1
Bonchi, F.2
Lakshmanan, L.V.S.3
-
8
-
-
58449115775
-
Social networks that matter: Twitter under microscope
-
B. Huberman, D. M. Romero, and F. Wu. Social networks that matter: Twitter under microscope. In First Monday, volume 14, pages 118-138, 2009.
-
(2009)
First Monday
, vol.14
, pp. 118-138
-
-
Huberman, B.1
Romero, D.M.2
Wu, F.3
-
9
-
-
33747172362
-
Maximizing the spread of influence through a social network
-
David Kempe, Jon Kleinberg, and Éva Tardos. Maximizing the spread of influence through a social network. In KDD'03, pages 137-146, 2003.
-
(2003)
KDD'03
, pp. 137-146
-
-
Kempe, D.1
Kleinberg, J.2
Tardos, E.3
-
10
-
-
84865611721
-
Learning influence from heterogeneous social networks
-
Lu Liu, Jie Tang, Jiawei Han, and Shiqiang Yang. Learning influence from heterogeneous social networks. DataMKD, 25(3):511-544, 2012.
-
(2012)
DataMKD
, vol.25
, Issue.3
, pp. 511-544
-
-
Liu, L.1
Tang, J.2
Han, J.3
Yang, S.4
-
11
-
-
0006217743
-
Random walks on graphs: A survey
-
László Lovasz. Random walks on graphs: A survey. Combinatorics, 2(1):1-6, 1993.
-
(1993)
Combinatorics
, vol.2
, Issue.1
, pp. 1-6
-
-
Lovasz, L.1
-
12
-
-
84866021278
-
Information diffusion and external influence in networks
-
Seth A. Myers, Chenguang Zhu, and Jure Leskovec. Information diffusion and external influence in networks. In KDD '12, pages 33-41, 2012.
-
(2012)
KDD '12
, pp. 33-41
-
-
Myers, S.A.1
Zhu, C.2
Leskovec, J.3
-
14
-
-
57749200669
-
Prediction of information diffusion probabilities for independent cascade model
-
Kazumi Saito, Ryohei Nakano, and Masahiro Kimura. Prediction of information diffusion probabilities for independent cascade model. In KES '08, pages 67-75, 2008.
-
(2008)
KES '08
, pp. 67-75
-
-
Saito, K.1
Nakano, R.2
Kimura, M.3
-
15
-
-
84877881232
-
Modeling indirect influence on twitter
-
Xin Shuai, Ying Ding, Jerome Busemeyer, Shanshan Chen, Yuyin Sun, and Jie Tang. Modeling indirect influence on twitter. IJSWIS, 8(4), 2012.
-
(2012)
IJSWIS
, vol.8
, Issue.4
-
-
Shuai, X.1
Ding, Y.2
Busemeyer, J.3
Chen, S.4
Sun, Y.5
Tang, J.6
-
16
-
-
78649235583
-
Want to be retweeted? Large scale analytics on factors impacting retweet in twitter network
-
Bongwon Suh, Lichan Hong, Peter Pirolli, and Ed H. Chi. Want to be retweeted? large scale analytics on factors impacting retweet in twitter network. In SOCIALCOM '10, pages 177-184, 2010.
-
(2010)
SOCIALCOM '10
, pp. 177-184
-
-
Suh, B.1
Hong, L.2
Pirolli, P.3
Chi, E.H.4
-
17
-
-
34548580783
-
Neighborhood formation and anomaly detection in bipartite graphs
-
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, and Christos Faloutsos. Neighborhood formation and anomaly detection in bipartite graphs. In ICDM'05, pages 418-425, 2005.
-
(2005)
ICDM'05
, pp. 418-425
-
-
Sun, J.1
Qu, H.2
Chakrabarti, D.3
Faloutsos, C.4
-
18
-
-
70350639694
-
Social influence analysis in large-scale networks
-
Jie Tang, Jimeng Sun, Chi Wang, and Zi Yang. Social influence analysis in large-scale networks. In KDD'09, pages 807-816, 2009.
-
(2009)
KDD'09
, pp. 807-816
-
-
Tang, J.1
Sun, J.2
Wang, C.3
Yang, Z.4
-
20
-
-
78651286186
-
Understanding retweeting behaviors in social networks
-
Zi Yang, Jingyi Guo, Keke Cai, Jie Tang, Juanzi Li, Li Zhang, and Zhong Su. Understanding retweeting behaviors in social networks. In CIKM '10, pages 1633-1636, 2010.
-
(2010)
CIKM '10
, pp. 1633-1636
-
-
Yang, Z.1
Guo, J.2
Cai, K.3
Tang, J.4
Li, J.5
Zhang, L.6
Su, Z.7
|