Personalizing of Content Dissemination in Online Social Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 12
Abstract
Online social networks have seen a rapid growth in recent years. A key aspect of many of such networks is that they are rich in content and social interactions. Users of social networks connect with each other and forming their own communities. With the evolution of huge communities hosted by such websites, users suffer from managing information overload and it is become hard to extract useful information. Thus, users need a mechanism to filter online social streams they receive as well as enable them to interact with most similar users. In this paper, we address the problem of personalizing dissemination of relevant information in knowledge sharing social network. The proposed framework identifies the most appropriate user(s) to receive specific post by calculating similarity between target user and others. Similarity between users within OSN is calculated based on users’ social activity which is an integration of content published as well as social pattern Application of this framework to a representative subset of a large real-world social network: the user/community network of the blog service stack overflow is illustrated here. Experiments show that the proposed model outperform tradition similarity methods.
Authors and Affiliations
Abeer ElKorany, Khaled ElBahnasy
Keywords
Related Articles
- EP ID EP93988
- DOI 10.14569/IJACSA.2013.041201
- Views 107
- Downloads 0
Trajectory based Arabic Sign Language Recognition
Deaf and hearing impaired people use their hand as a tongue to convey their thoughts by performing descriptive gestures that form the sign language. A sign language recognition system is a system that translates these ge...
BITRU: Binary Version of the NTRU Public Key Cryptosystem via Binary Algebra
New terms such as closest vector problem (CVP) and the shortest vector problem (SVP), which have been illustrated as NP-hard problem, emerged, leading to a new hope for designing public key cryptosystem based on certain...
Empirical Evaluation of Modified Agile Models
Empirical evaluation is one of the widely accepted validation method in the domain of software engineering which investigates the proposed technique via practical experience and reflects its benefits and limitations. Due...
Dynamic Access Control Policy based on Blockchain and Machine Learning for the Internet of Things
The Internet of Things (IoT) is now destroying the barriers between the real and digital worlds. However, one of the huge problems that can slow down the development of this global wave, or even stop it, concerns securit...
Inferring of Cognitive Skill Zones in Concept Space of Knowledge Assessment
In these research zones of the knowledge, the assessed domain is identified. Explicitly, these zones are known as Verified Skills, Derived Skills and Potential Skills. In detail, the Verified Skills Zone is the set of te...