social network aggregation model
TRANSCRIPT
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Social Network Services Aggregation Model
byAhmad Karawash
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Overview
Introduction Development of web & social web Statistics & Problem Source of idea Semantic Social Network aggregation (SSNA) Semantic service discovery (SSD) SSNA benefits Simulation Implementation Conclusion
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Social Network Services
Definitions : The Social network is a set of relationships that link together people over the Web. The Web is a universal and open space of information where every item of interest can be identified by a URI (Uniform Resource Identifier).
definition- statistic - problem – source – aggregation – advantage - simulation
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Social Network Services
Web development :
Web 1.0 : Read-Only web existed before 1999, it identified resource by its address (URI). It allowed anything to link to anything.
Web 2.0 : Today’s web discussed in 2004 by Tim O’Reilly, describes web-based applications, such as social networking sites and blogs, that facilitate collaboration and sharing among users.
Web 3.0 : Refers to a supposed third generation of Internet-based services, It comprises what might be called the intelligent Web, such as
those using semantic web, natural language search, data mining, machine learning and artificial intelligence technologies.
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Social Network Servicesdefinition- statistic - problem – source – aggregation – advantage - simulation
Useful Social Networking Statistics 2011 (in millions) http://andynathan.net/2011/08/social-networking-statistics-2012/
Social web users statistics:
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Social Network Servicesdefinition- statistic - problem – source – aggregation – advantage - simulation
Overlap between multiple social network servicesCompete.com (Alex Patriquin)
Social network services overlap:
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Social Network Services
Problem: • users of multiple social networks spend so much time managing
their online accounts. They can’t actually get any work done or remember which contacts they met.
• “Facebook me.”• “Hey, hit me on Plus”• “Can you tweet me?”• “I’m on LinkedIn.”
Solution : • Social network aggregation
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Social Network Servicesdefinition- statistic - problem – source – aggregation – advantage - simulation
Middle server(ISP)
Client(aggregator)
Google+
Myspace.com
State of art:• Researches developed aggregators for social network (since
2007) as: Profilactic, Minggl, iStalkr, Correlate.us, Spokeo.• But all of them lack of semantic property, because of
dependence on syntactic web, also the aggregation is done in the client side as if nothing really is done.
• So semantic aggregator is the goal now.
Syntax based &No social identity
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Social Network Services
Idea : • Idea comes from Web 3.0 which is based around cults of personality.
Search a name and bring up that person, all the social networks they belong to, and produce a feed around them. In this world, the idea of “Social Networks” will be completely replaced by People Search.
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Social Network Services
SSNA approach:• Instead of syntactical aggregation in the client side, a semantic
social network aggregation can be done on the middle server side based on social identity.
definition- statistic - problem – source – aggregation – advantage - simulation
Middle server
Google+
MySpace
ontology
SSOA(aggregator)
client
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Social Network Services
Merge ontology• The goal is to make a new hybrid ontology on the middle server that
merges all the traits of the social networks
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Social Network Services
SSOA (social service oriented architecture) article• Our model is based on dividing web services into different
types of services according to their purpose.
• To achieve our goal we need a semantic SOA model to sort web services.
definition- statistic - problem – source – aggregation – advantage - simulation
Web service
Education service
Sell/Buy service
Weather service
Bank service
Social service
Trade serviceEngineer
service
.
.
.
MySpace
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Social Network Services
One message communication• Because of combining social networks to a unique global
personal account for each user, one social message will carry update for all the social accounts between the middle server and the client.
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Social Network Services
Advantages
Less effort in social network analysis Less utilization of client machine resources (CPU, memory) Middle server deals with one client regarding all his social
accounts
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Social Network Services
Simulation
Simulation uses Java socket and process explorer for both server and client.
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Social Network Services
Implementation
Implementation uses local server and PHP code. It consists of combination of many social web services as: chat, post comments and upload image & video.
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Social Network Services
Conclusion
• This project proposes a new model for semantic social network aggregation as a solution of management of clients social accounts.
• It provides a global identity for user‘s social web work.• It gives a new approach to discover business process of services
semantically.• As a future work and since the web full of millions of web services, it is
recommended to organize jobs of these services. I will focus on dividing the web services into specific domains. Then I will propose for each domain a suitable ontology and management unit, similar to SSOA, to organize the whole web contents.
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References Rahman, Md. Abdur , Ph.D., UNIVERSITY OF OTTAWA (2011),Towards a Context-Aware Social Network Framework The New Media Consortium. (2007, 10 October) Social Networking, the “Third Place,” and the Evolution of Communication. www.nmc.org/evolution-communication boyd, d. m., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), article 11. http://jcmc.indiana.edu/vol13/issue1/boyd.ellison.html Haythornthwaite, C. (2005). Social networks and Internet connectivity effects. Information, Communication, & Society, 8 (2), 125-147. Oezden, P. (2005). Ontology Based Knowledge Discovery in Social Networks http://langtech.jrc.it/Documents/0509_Oezden_OntologyBasedKnowledgeDiscovery_JRC-FinalReport.pdf Jiang, P. (2011). Privacy concern toward using social networking services: A conceptual model Morgan Stanly research (2010). Internet rends. http://www.morganstanley.com/ Sundén, J. (2003). Material Virtualities. New York: Peter Lang. Ko M. & Cheek G. & and Shehab M. University of North Carolina at Charlotte& Sandhu R., University of Texas at San Antonio. (2010). SOCIAL-NETWORKS CONNECT SERVICES Observer Pattern, http://www.oodesign.com/observer-pattern.html Schroeder, S. (2007). 20 Ways To Aggregate Your social Networking. http://mashable.com/2007/07/17/social-network-aggregators/
definition- statistic - problem – source – aggregation – advantage - simulation