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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»
15 years 3 months 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»
14 years 9 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
67
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ASUNAM
2009
IEEE
15 years 4 months 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
15 years 10 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 1 days 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