Title :
Towards the Development of Community Algorithm
Author :
Siddiqui, Muhammad Shahab ; Shaikh, Zubair A. ; Memon, A.R.
Author_Institution :
GSESIT, Hamdard Univ., Karachi
Abstract :
Human beings are part of different communities, which can be analyzed in detail to extract valuable information. Community algorithm will be used to classify users, their roles in a community, analyze their interaction level within and between communities. Community algorithm is an inspiration from cultural algorithm and has similar characteristics as of genetic algorithm. Communities will be held in some proper frame structure (ontology). Community algorithm has operators that will be used to have new individuals in next generation and can have collective interaction impact in any existing generation of a community. We will use community ontology in our on going research on community algorithm development.
Keywords :
ontologies (artificial intelligence); social sciences computing; community algorithm; community ontology; cultural algorithm; genetic algorithm; human beings; interaction level; Algorithm design and analysis; Animals; Computer science; Cultural differences; Genetic algorithms; Global communication; Humans; Information analysis; Ontologies; Organisms; Community; Community Algorithm; Human Profiling; Interaction Measure;
Conference_Titel :
Information Management and Engineering, 2009. ICIME '09. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-3595-1
DOI :
10.1109/ICIME.2009.76