Title :
Mining user behavior pattern in mashup community
Author :
Wang, Junjian ; Chen, Huajun ; Zhang, Yu
Author_Institution :
Zhejiang Univ., Hangzhou, China
Abstract :
Mashup allows users to integrate different kinds of sources together. The ProgrammableWeb.com is a popular online social mashup site that enables users to publish mashups. In this paper, we discover user behavior pattern in mashup community by studying the network and clustering properties of ProgrammableWeb.com. Moreover, we define a new concept-mashup entropy to evaluate the diversity of mashup community. The results prove that mashup community possesses scale-free property. The frequently used APIs and annotated tags attract large amounts of users. People who have similar ideas tend to have similar behavior. Finally, we find that the overall mashup entropy decreases as time goes by, which means that users tend to reuse several design patterns in creating mashups.
Keywords :
Web sites; application program interfaces; behavioural sciences computing; data mining; entropy; social networking (online); ProgrammableWeb.com; application program interfaces; mashup community; mashup entropy; mining user behavior pattern; online social mashup site; Clustering methods; Cultural differences; Current measurement; Entropy; Feeds; Information analysis; Mashups; Publishing; Social network services; Springs; Mashup; Mashup Entropy; Social Network Analysis; User Preference Clustering; User behavior;
Conference_Titel :
Information Reuse & Integration, 2009. IRI '09. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-4114-3
Electronic_ISBN :
978-1-4244-4116-7
DOI :
10.1109/IRI.2009.5211538
