Semantically sampling in heterogeneous social networks

WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web

Volumn , Issue , 2013, Pages 181-182

  Yang, Cheng Lun ^a   Kung, Perng Hwa ^a   Chen, Chun An ^b   Lin, Shou De ^a  

^a School of Computer Science and Information Engineering   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Graph sampling; Heterogeneous network; Network prediction

Indexed keywords

FORECASTING; SEMANTIC WEB; SEMANTICS; SOCIAL NETWORKING (ONLINE);

ACCURATE PREDICTION; CAN DESIGN; DESIGN FEATURES; GRAPH PROPERTIES; GRAPH SAMPLINGS; NETWORK PREDICTION; NETWORK SAMPLINGS; PROPERTY; SAMPLING METHOD; SUBNETWORKS;

HETEROGENEOUS NETWORKS;

EID: 84890565648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2487788.2487879     Document Type: Conference Paper

References (7)

1. C.-C. Chang and C.-J. Lin. LIBSVM: A library for support vector machines. ACM TIST, 2011.
2. M. Kurant, M. Gjoka, Y. Wang, Z. W. Almquist, C. T. Butts, and A. Markopoulou. Coarse-grained topology estimation via graph sampling. In WOSN'12.
3. J. Leskovec and C. Faloutsos. Sampling from large graphs. In SIGKDD, 2006.
4. J.-Y. Li and M.-Y. Yeh. On sampling type distribution from heterogeneous social networks. In PAKDD, 2011.
5. D. Liben-Nowell and J. Kleinberg. The link-prediction problem for social networks. JASIST, 2007.
6. A. S. Maiya and T. Y. Berger-Wolf. Benefits of bias: Towards better characterization of network sampling. CoRR, 2011.
7. W. Xi, B. Zhang, Z. Chen, Y. Lu, S. Yan, W. ying Ma, and E. A. Fox. Link fusion: A unified link analysis framework for multi-type interrelated data objects. WWW'04.