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» Frequent Pattern Trend Analysis in Social Networks
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KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 4 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
CSE
2009
IEEE
13 years 11 months ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
PSYCHNOLOGY
2008
156views more  PSYCHNOLOGY 2008»
13 years 3 months ago
SIM: A dynamic multidimensional visualization method for social networks
Visualization plays an important role in social networks analysis to explore and investigate individual and groups behaviours. Therefore, different approaches have been proposed f...
Maria Chiara Caschera, Fernando Ferri, Patrizia Gr...
BIOCOMP
2009
13 years 5 months ago
Monitoring Influenza Trends through Mining Social Media
Analysis of Google Influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Center for Disease Control and Prevention seasonal ILI reporting data. W...
Courtney Corley, Armin R. Mikler, Karan P. Singh, ...
IMC
2009
ACM
13 years 11 months ago
Characterizing user behavior in online social networks
Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved ...
Fabrício Benevenuto, Tiago Rodrigues, Meeyo...