indiamarks is a social bookmarking service for the global indian community. Here you can save your bookmarks,
organize all your online research, share your bookmarks
with friends & family and find useful and interesting sites saved by the global indian community.
A social software wiki page on design patterns for social software, categorised under trust and identity, collaboration, and communications. Click through twice to get to a longer list of patterns. Output from social software course.
Handcock, M.S., Raftery, A.E. and Tantrum, J. (2005).
Model-Based Clustering for Social Networks.
Working Paper no. 46, Center for Statistics and the Social Sciences,
University of Washington.
It is tribewanted’s aim to create a sustainable and ecological community on Adventure Island and to encourage tribe members to actively take part in this challenge
Smarking is a social bookmarks manager. * Save all your bookmarks online, ready to be accessed everywhere * Learn more about your favourite arguments * Make some of your bookmarks public, private or visibles only to your friends * T
Social Bookmarking According to Wikipedia: ...an increasingly popular way to locate, classify, rank, and share Internet resources through the use of shared lists of user-created Internet bookmark lists, the practice of tagging, and meta-data infer
Talk Digger is a new way to find, follow and join discussions evolving on the Internet. It is simple. You have in hand the URL of a piece of news of the BBC, a blog post, a product page, or any other web page, and you want to know who is talking abou
large groups of people are smarter than an elite few, no matter how brilliant—better at solving problems, fostering innovation, coming to wise decisions, even predicting the future
Upcoming.org is a social event calendar, completely driven by people like you. Manage your events, share events with friends and family, and syndicate your calendar to your own site
A. Singla, and I. Weber. WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining, page 252--261. New York, NY, USA, ACM, (2009)
P. Singla, and M. Richardson. WWW '08: Proceeding of the 17th international conference on World Wide Web, page 655--664. New York, NY, USA, ACM, (2008)
P. Singla, and M. Richardson. WWW '08: Proceeding of the 17th international conference on World Wide Web, page 655--664. New York, NY, USA, ACM, (2008)
P. Singla, and M. Richardson. WWW '08: Proceeding of the 17th international conference on World Wide Web, page 655--664. New York, NY, USA, ACM, (2008)
V. Sinha, S. Rao, and V. Balasubramanian. (2018)cite arxiv:1803.02781Comment: 8 pages, 5 tables, 1 figure, KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) 2018.