-
1
-
-
79951745920
-
Detecting novel discrepancies in communication networks
-
IEEE
-
J. Abello, T. Eliassi-Rad, and N. Devanur. Detecting novel discrepancies in communication networks. In ICDM, pages 8-17. IEEE, 2010.
-
(2010)
ICDM
, pp. 8-17
-
-
Abello, J.1
Eliassi-Rad, T.2
Devanur, N.3
-
2
-
-
77956252613
-
Time-based sampling of social network activity graphs
-
N. Ahmed, F. Berchmans, J. Neville, and R. Kompella. Time-based sampling of social network activity graphs. In MLG, pages 1-9, 2010.
-
(2010)
MLG
, pp. 1-9
-
-
Ahmed, N.1
Berchmans, F.2
Neville, J.3
Kompella, R.4
-
3
-
-
84891818557
-
Reconsidering the foundations of network sampling
-
N. Ahmed, J. Neville, and R. Kompella. Reconsidering the foundations of network sampling. WIN 10, 2010.
-
(2010)
WIN 10
-
-
Ahmed, N.1
Neville, J.2
Kompella, R.3
-
4
-
-
84873627033
-
Network sampling via edge-based node selection with graph induction
-
N. Ahmed, J. Neville, and R. Kompella. Network sampling via edge-based node selection with graph induction. In Purdue University, CSD TR #11-016, pages 1-10, 2011.
-
(2011)
Purdue University, CSD TR #11-016
, pp. 1-10
-
-
Ahmed, N.1
Neville, J.2
Kompella, R.3
-
6
-
-
79952552980
-
Temporal link prediction using matrix and tensor factorizations
-
D. Dunlavy, T. Kolda, and E. Acar. Temporal link prediction using matrix and tensor factorizations. TKDD, 5(2):10, 2011.
-
(2011)
TKDD
, vol.5
, Issue.2
, pp. 10
-
-
Dunlavy, D.1
Kolda, T.2
Acar, E.3
-
7
-
-
71149093889
-
Dynamic mixed membership blockmodel for evolving networks
-
ACM
-
W. Fu, L. Song, and E. Xing. Dynamic mixed membership blockmodel for evolving networks. In ICML, pages 329-336. ACM, 2009.
-
(2009)
ICML
, pp. 329-336
-
-
Fu, W.1
Song, L.2
Xing, E.3
-
10
-
-
78650226137
-
Finding spread blockers in dynamic networks
-
Springer-Verlag
-
H. Habiba, Y. Yu, T. Berger-Wolf, and J. Saia. Finding spread blockers in dynamic networks. In Proceedings of the Second international conference on Advances in social network mining and analysis, pages 55-76. Springer-Verlag, 2008.
-
(2008)
Proceedings of the Second International Conference on Advances in Social Network Mining and Analysis
, pp. 55-76
-
-
Habiba, H.1
Yu, Y.2
Berger-Wolf, T.3
Saia, J.4
-
11
-
-
84861070830
-
It's who you know: Graph mining using recursive structural features
-
K. Henderson, B. Gallagher, L. Li, L. Akoglu, T. Eliassi-Rad, H. Tong, and C. Faloutsos. It's Who You Know: Graph Mining Using Recursive Structural Features. In SIGKDD, pages 1-10, 2011.
-
(2011)
SIGKDD
, pp. 1-10
-
-
Henderson, K.1
Gallagher, B.2
Li, L.3
Akoglu, L.4
Eliassi-Rad, T.5
Tong, H.6
Faloutsos, C.7
-
12
-
-
84861086591
-
RolX: Role extraction and mining in large networks
-
K. Henderson, B. Gallagher, L. Li, L. Akoglu, T. Eliassi-Rad, H. Tong, and C. Faloutsos. RolX: Role Extraction and Mining in Large Networks. In LLNL Tech Report, 2011.
-
(2011)
LLNL Tech Report
-
-
Henderson, K.1
Gallagher, B.2
Li, L.3
Akoglu, L.4
Eliassi-Rad, T.5
Tong, H.6
Faloutsos, C.7
-
13
-
-
12244300520
-
Eigenspace-based anomaly detection in computer systems
-
T. Ide and H. Kashima. Eigenspace-based anomaly detection in computer systems. In SIGKDD, pages 440-449, 2004.
-
(2004)
SIGKDD
, pp. 440-449
-
-
Ide, T.1
Kashima, H.2
-
14
-
-
34248550159
-
The dynamics of viral marketing
-
J. Leskovec, L. Adamic, and B. Huberman. The dynamics of viral marketing. TWEB, 1(1):1-39, 2007.
-
(2007)
TWEB
, vol.1
, Issue.1
, pp. 1-39
-
-
Leskovec, J.1
Adamic, L.2
Huberman, B.3
-
15
-
-
32344436210
-
Graphs over time: Densification laws, shrinking diameters and possible explanations
-
ACM
-
J. Leskovec, J. Kleinberg, and C. Faloutsos. Graphs over time: densification laws, shrinking diameters and possible explanations. In SIGKDD, pages 177-187. ACM, 2005.
-
(2005)
SIGKDD
, pp. 177-187
-
-
Leskovec, J.1
Kleinberg, J.2
Faloutsos, C.3
-
16
-
-
73349107745
-
Analyzing communities and their evolutions in dynamic social networks
-
Y. Lin, Y. Chi, S. Zhu, H. Sundaram, and B. Tseng. Analyzing communities and their evolutions in dynamic social networks. TKDD, 3(2):8, 2009.
-
(2009)
TKDD
, vol.3
, Issue.2
, pp. 8
-
-
Lin, Y.1
Chi, Y.2
Zhu, S.3
Sundaram, H.4
Tseng, B.5
-
17
-
-
18744389789
-
Assortative mixing in networks
-
M. E. J. Newman. Assortative mixing in networks. Phys. Rev. Lett., 89:208701, 2002.
-
(2002)
Phys. Rev. Lett.
, vol.89
, pp. 208701
-
-
Newman, M.E.J.1
-
18
-
-
12244268431
-
Graph-based anomaly detection
-
ACM
-
C. Noble and D. Cook. Graph-based anomaly detection. In SIGKDD, pages 631-636. ACM, 2003.
-
(2003)
SIGKDD
, pp. 631-636
-
-
Noble, C.1
Cook, D.2
-
19
-
-
34247527717
-
Prediction and ranking algorithms for event-based network data
-
J. O'Madadhain, J. Hutchins, and P. Smyth. Prediction and ranking algorithms for event-based network data. SIGKDD Explor., 7(2):30, 2005.
-
(2005)
SIGKDD Explor.
, vol.7
, Issue.2
, pp. 30
-
-
O'Madadhain, J.1
Hutchins, J.2
Smyth, P.3
-
20
-
-
33745631543
-
Streaming pattern discovery in multiple time-series
-
VLDB Endowment
-
S. Papadimitriou, J. Sun, and C. Faloutsos. Streaming pattern discovery in multiple time-series. In VLDB, pages 697-708. VLDB Endowment, 2005.
-
(2005)
VLDB
, pp. 697-708
-
-
Papadimitriou, S.1
Sun, J.2
Faloutsos, C.3
-
21
-
-
38049123799
-
The case for anomalous link discovery
-
M. J. Rattigan and D. Jensen. The case for anomalous link discovery. SIGKDD Explor., 7(2):41-47, 2005.
-
(2005)
SIGKDD Explor.
, vol.7
, Issue.2
, pp. 41-47
-
-
Rattigan, M.J.1
Jensen, D.2
-
22
-
-
84861439693
-
Time-evolving relational classification and ensemble methods
-
R. Rossi and J. Neville. Time-evolving relational classification and ensemble methods. In PAKDD, pages 1-12, 2012.
-
(2012)
PAKDD
, pp. 1-12
-
-
Rossi, R.1
Neville, J.2
-
23
-
-
36849035825
-
Graphscope: Parameter-free mining of large time-evolving graphs
-
ACM
-
J. Sun, C. Faloutsos, S. Papadimitriou, and P. Yu. Graphscope: parameter-free mining of large time-evolving graphs. In SIGKDD, pages 687-696. ACM, 2007.
-
(2007)
SIGKDD
, pp. 687-696
-
-
Sun, J.1
Faloutsos, C.2
Papadimitriou, S.3
Yu, P.4
-
24
-
-
65449147147
-
Community evolution in dynamic multi-mode networks
-
ACM
-
L. Tang, H. Liu, J. Zhang, and Z. Nazeri. Community evolution in dynamic multi-mode networks. In SIGKDD, pages 677-685. ACM, 2008.
-
(2008)
SIGKDD
, pp. 677-685
-
-
Tang, L.1
Liu, H.2
Zhang, J.3
Nazeri, Z.4
-
25
-
-
0032482432
-
Collective dynamics of small-world networks
-
D. Watts and S. Strogatz. Collective dynamics of small-world networks. Nature, 393(6684):440-442, 1998.
-
(1998)
Nature
, vol.393
, Issue.6684
, pp. 440-442
-
-
Watts, D.1
Strogatz, S.2
-
26
-
-
79960461257
-
A state-space mixed membership blockmodel for dynamic network tomography
-
E. Xing, W. Fu, and L. Song. A state-space mixed membership blockmodel for dynamic network tomography. The Annals of Applied Statistics, 4(2):535-566, 2010.
-
(2010)
The Annals of Applied Statistics
, vol.4
, Issue.2
, pp. 535-566
-
-
Xing, E.1
Fu, W.2
Song, L.3
-
27
-
-
79952376390
-
Patterns of temporal variation in online media
-
ACM
-
J. Yang and J. Leskovec. Patterns of temporal variation in online media. In WSDM, pages 177-186. ACM, 2011.
-
(2011)
WSDM
, pp. 177-186
-
-
Yang, J.1
Leskovec, J.2
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