Social network websites are currently highly popular. The number of users and amount of data is increasing rapidly. Many researchers or developers that want to use that data for analysis and determining relationships in the data, as well as analyzing behavioral data of such websites' users. Connecting to the application programming interface of each social network website, as well as the properties of the data, has different characteristics, and requires a long time to understand before data requests may be performed and the data may be applied to use. This research presents initial design patterns for social networking applications that can identify the basic requirements of connecting to the application programming interface of social network websites, as well as propose approaches for retrieving information from social networks, as an approach for application.
CITATION STYLE
Pongpradit, P., & Prompoon, N. (2016). Constructing initial design patterns for online social network-based applications. In 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICIS.2016.7550802
Mendeley helps you to discover research relevant for your work.