PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Modularity and Innovation in Complex Systems
Management Science
Understanding Mashup Development
IEEE Internet Computing
The Dual Role of Modularity: Innovation and Imitation
Management Science
The web as a graph: measurements, models, and methods
COCOON'99 Proceedings of the 5th annual international conference on Computing and combinatorics
Networks: An Introduction
Simplifying mashup component selection with a combined similarity- and social-based technique
Proceedings of the 5th International Workshop on Web APIs and Service Mashups
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Previous work has explored the structure of the mashup ecosystem, which can be modeled as a network of mashups and APIs. However, it did not offer an explanation for its growth. In this paper, we seek an answer to the question how mashup developers select APIs. One hypothesis that has been put forward is that APIs are selected by their popularity, that is, by preferential attachment. However, this hypothesis is unsatisfying, as it disregards that mashups are composed from multiple APIs, and neglects the learning between mashup developers. Instead, we propose a copying model. We test to what degree developers create mashups by copying other mashups. We show that a good fit between the actual distribution of APIs and our model can be obtained. We can conclude that copying plays a significant role in explaining how mashups are developed. We also identify open research questions raised by the results.