Using Web 2.0 applications to deliver innovative services on the internet

The emergence of Web 2.0 has brought about new Web applications being developed. Represented chiefly by Web applications such as YouTube, MySpace, blogs and Google applications, these community-based technologies are changing the way we use the Internet. One interesting result of these innovations is the extensibility of these applications. For example, YouTubepsilas content can be displayed on other Websites and hence, are popularly dasiaextendedpsila to be displayed on individual blogs and other organization Websites. In this paper, we discussed two applications that were a result of extending Google Earth and Google Maps. These two applications illustrate how new solutions can be quickly built from these extensible applications thus suggesting the future of application development, one that is built upon applications rather than object-oriented components.

Social reader: towards browsing the social web

We describe Social Reader, a feed-reader-plus-social-network aggregator that mines comments from social media in order to display a user’s relational neighborhood as a navigable social network. Social Reader’s network visualization enhances mutual awareness of blogger communities, facilitates their exploration and growth with a fully dragn- drop interface, and provides novel ways to filter and summarize people, groups, blogs and comments. We discuss the architecture behind the reader, highlight tasks it adds to the workflow of a typical reader, and assess their cost. We also explore the potential of mood-based features in social media applications. Mood is particularly relevant to social media, reflecting the personal nature of the medium. We explore two prototype mood-based features: colour coding the mood of recent posts according to a valence/arousal map, and a mood-based abstract of recent activity using image media. A six week study of the software involving 20 users confirmed the usefulness of the novel visual display, via a quantitative analysis of use logs, and an exit survey.