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» Data and Structural k-Anonymity in Social Networks
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ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
16 years 8 days ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
PSYCHNOLOGY
2008
94views more  PSYCHNOLOGY 2008»
15 years 5 months ago
A Design Framework for Mapping Social Relationships
This paper describes a design framework for representing social-spatial data on maps and diagrams and then illustrates the design approaches for representing social data in two ap...
Alistair G. Sutcliffe
ASUNAM
2009
IEEE
16 years 24 days ago
Networks Evolving Step by Step: Statistical Analysis of Dyadic Event Data
With few exceptions, statistical analysis of social networks is currently focused on cross-sectional or panel data. On the other hand, automated collection of network-data often p...
Ulrik Brandes, Jürgen Lerner, Tom A. B. Snijd...
WWW
2007
ACM
16 years 6 months ago
Finding community structure in mega-scale social networks: [extended abstract]
[Extended Abstract] Ken Wakita Tokyo Institute of Technology 2-12-1 Ookayama, Meguro-ku Tokyo 152-8552, Japan wakita@is.titech.ac.jp Toshiyuki Tsurumi Tokyo Institute of Technolog...
Ken Wakita, Toshiyuki Tsurumi
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 8 months ago
From user comments to on-line conversations
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that predicts the growth dynamics and structural pro...
Chunyan Wang, Mao Ye, Bernardo A. Huberman