SIN: A Platform to Make Interactions in Social Networks Accessible

Abstract

Abstract-Online Social Networks (OSNs) are popular platforms for interaction, communication and collaboration between friends. In this paper we develop and present a new platform to make interactions in OSNs accessible. Most of today's social networks, including Facebook, Twitter, and Google+ provide support for third party applications to use their social network graph and content. Such applications are strongly dependent on the set of software tools and libraries provided by the OSNs for their own development and growth. For example, third party companies like CNN provide recommendation materials based on user interactions and user's relationship graph. One of the limitations with this graph (or APIs) is the segregation from the shared content. We believe, and present in this paper, that the content shared and the actions taken on the content, creates a Social Interaction Network (SIN). As such, we extend Facebook's current API in order to allow applications to retrieve a weighted graph instead of Facebooks unweighted graph. Finally, we evaluate the proposed platform based on completeness and speed of the crawled results from selected community pages. We also give a few example uses of our API on how it can be used by third party applications.

Predicting User Participation in Social Media

“…Each section is sorted firstly by Confidence, Lift and Conviction respectively and secondly by the number of supporting users. The rule {u 429 , u 578 } ⇒ {u 19 } should be interpreted as user-429 together with user-578 influence participation of user-19. Notable, when sorting by confidence and lift, the conviction is infinite (this is due to the confidence of 1.0) as shown how conviction is calculated in (4).…”

“…Our current dataset, captured from public pages and groups on Facebook, consists of over 56 million posts, 560 million comments and 7.3 billion likes made by 820 million Facebook users. The crawled data is parsed and available from a SQL database, structured as described in [19], making all fields needed for our task available. In this study, we assume that the investigated posts will not get any new comments.…”

Crawling Online Social Networks

“…In addition, we do an extensive amount of computing in order to create the SINs [3] based on the specified types of interactions in the request and providing the interaction networks in the returned response. Finally, the feature that separates our work from every other API is the extended functionality feature.…”

“…There have been efforts to make the social informatics on, for instance, Facebook available for applications (e.g., [1,2]). Additionally, researchers and developers have become more interested in using the social interaction networks, SINs [3], to further enhance and personalize their services [4]. OSNs are also redefining roles within the publishing industry, allowing publishers and authors to reach and engage with readers directly [5].…”

Making social interactions accessible in online social networks

“…Additionally, researchers have become more interested in using the social interaction networks, SINs [9], in order to further enhance and personalize their services [11]. OSNs are also redefining roles within the publishing industry, allowing publishers and authors to reach and engage with readers directly [8].…”