Provide an easy interface to check friends activities.
Publicly navigable content and metadata
What are we going to see ?
How users of two popular social media sites.
Digg – the social news aggregator
Flicker – the social photo-sharing file
Use social networks.
Social News Aggregation on Digg
User submit stories
User vote (digg) on stories
Select stories promoted to the front page based on received votes.
Collaborative front page emerges from the opinions of many users, not few editors.
Users create social networks by adding others as friends
Friends interface make it easy to track friends activites.
Stories friends submitted
Stories friends digg (voted)
A new way for searching new content by browsing through the content created by their contacts via the Friend Interface.
list of stories from the first 14 pages of Digg.
A list of stories from the first 20 pages in the upcoming stories queue.
Information about the top 1020 recent active users.
consisted of the 500 “most interesting ” images.
consisted of the most 500 most recent images to the Apex group .
Contains 480 most recent image.
Dynamics of votes received by select stories on Digg over a period of four days. Dashes indicate story’s transition to the front page.
Cumulative number of times images in the Explore set (solid lines) and Random set (dashed lines) were viewed over the time of the tracking period
Social Network - Digg Scatter plot of the number of friends (contacts) vs reverse friends (contacts) for (a) the top 1020 Digg users
Social Networks - Flicker Scatter plot of the number of friends (contacts) vs reverse friends (contacts) for 1100 Flickr users from the Apex, Explore and Random datasets story.
Social browsing on Digg Strength of the linear correlation coefficient between user’s success rate and the number of friends and reverse friends he has.
Number of voters who are also among the reverse friends of the user who submitted the story.
Users digg stories their friends submit
probability that k of submitter’s reverse friends could have voted on the story purely by chance.
P = 0.005
By enabling users to quickly digg stories submitted by friends, social networks play an important role in promoting stories to the front page.
Users digg stories their friends digg
m=1 user who submitted the story
m=6 story’s submitter and the first five users to digg it
Number of stories posted by poorly-connected users that were
made visible to others by digging activities of well-connected users,
(b) dugg by friends of the first m diggers within the next 25 diggs, and for the stories that were dugg by friends,
(c) the average probability that the observed numbers of friends dugg the story by chance
The data indicates that users do use the “see the stories my friends have dugg” portion of the Friends interface to find new interesting stories.
Social browsing in Flicker
Pools and tags
Pool: When users upload images to Flickr, they have an option to share them with different groups, each with its own image pool.
Tags: users tags images with keywords which help to improve search of the user’s own, as well as other people’s, images
Histogram of the number of pools to which images from each set were submitted
Histogram of the number of tags assigned to the images
There is considerable effort involved in sharing an image with a group, suggesting that social aspects of Flickr, such as sharing images with other users through groups and increasing the visibility of an image is very important to users, possibly more than being able to easily find them with tags.
Social Networks & Comments
Names of users who commented on images in the three datasets were collected and compared them to the names of users in the image owners’ social networks.
Proportion of comments that came from the submitting user’s reverse contacts, mutual contacts and strangers vs the number of pools to which the image was submitted for the three datasets.
In their every day use of Social Web Sites, users create large quantity of data, which express their knowledge and Opinions.
- Articles,media content, opinion pieces, etc.
- Tags, ratings, discussion ,social networks
Links between users, content and metadata
Social Web enables new problem solving approaches
Social Information Processing
Use knowledge, opinions , works of others for own information needs
Collective Problem solving
Efficient , robust solutions beyond the scope of individual capabilities.
New solution to old information processing problems.
Information Personalization and discovery
The Future of Social Web
Instead of ever clever algorithms, harness the Collective Intelligence.
The Future of Social Web 2
Instead of connecting data, the web connects people.
The personalization of everything
The more system learns about me, the better it should filter
Discovery, not search
What papers do I need to read to know about the research on social networks ?
K. Lerman (2007), Social Networks and Social Information Filtering on Digg, in Proceedings of Int. Conf. on Weblogs and Social Media, Boulder, CO,USA.
Digg Rank users
Based on how many of their stories were promoted to front page
- User with most front page stories is ranked #1 ..
Top 1000 users data
Collected by scraping Digg … now available through API
- Usage statisics
How many stories user dugg, commented on
- Social Networks
Friends: outgoing links
A -> B:= B is a friend of A
Reverse friends: incoming link
A -> B := A is a reverse friend of B
How friends Interface Works Submitter “see” stories my friends submitted