Acceso al sitio web del Consejo de Políticas de Infraestructura

   
Redirigiendo al acceso original de articulo en 16 segundos...
ARTÍCULO
TITULO

Discover Patterns and Mobility of Twitter Users?A Study of Four US College Cities

Yue Li    
Qinghua Li and Jie Shan    

Resumen

No disponible

PÁGINAS
MATERIAS
INFRAESTRUCTURA

 Artículos similares

       
 
Emmanouil Krasanakis and Andreas Symeonidis    
To help developers discover libraries suited to their software projects, automated approaches often start from already employed libraries and recommend more based on co-occurrence patterns in other projects. The most accurate project?library recommendati... ver más
Revista: Future Internet

 
Francesca Fallucchi, Bouchra Ghattas, Riem Spielhaus and Ernesto William De Luca    
Digital Humanities (DH) provide a broad spectrum of functionalities and tools that enable the enrichment of both quantitative and qualitative research methods in the humanities. It has been widely recognized that DH can help in curating and analysing lar... ver más
Revista: Future Internet

 
Dianwu Fang, Lizhen Wang, Jialong Wang and Meijiao Wang    
A spatial co-location pattern denotes a subset of spatial features whose instances frequently appear nearby. High influence co-location pattern mining is used to find co-location patterns with high influence in specific aspects. Studies of such pattern m... ver más

 
Dayu Cheng, Guo Yue, Tao Pei and Mingbo Wu    
Indoor positioning data reflects human mobility in indoor spaces. Revealing patterns of indoor trajectories may help us understand human indoor mobility. Clustering methods, which are based on the measurement of similarity between trajectories, are impor... ver más

 
Hang Zhang, Mingxin Gan and Xi Sun    
In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited. Check-in data and various contextual factors are widely ... ver más