Analyzing Human Communities using Fuzzy Graphs
作者： Sahar Altaf , Ayesha Kidwai
关键词:
摘要: Fuzzy Graphs are used for analyzing and modeling levels of information in real-time systems (simple or complex networks). A community (network) is formed when human eProfiles (nodes) have links (edges) interactions with each other. Considering multiple medium communications like email, chatting short message service (SMS) the network, it will make graph more (dense forest). To address this issue paper analyzes those communities help fuzzy graphs highlights status individuals a community. Max-Min Composition (fuzzy relation) was applied along statistical analysis on Interaction Index (II) to estimate intensity communication Role (RI) determine participation individual All be our research development Community Algorithm, which as tool that identifying, analyzing, manipulating, monitoring, transforming based eProfiles.
iobmresearch.com 参考文章(30)
Sabariah Baharun, Tahir Ahmad, Mohd Rashid Mohd Yusof, Relationship between Fuzzy Edge Connectivity and the Variables in Clinical Waste Incineration Process Mathematika. ,vol. 25, pp. 31- 38 ,(2009) , 10.11113/MATEMATIKA.V25.N.257
Duncan J. Watts, Six Degrees: The Science of a Connected Age ,(2003)
Feng-Tse Lin, A Genetic Algorithm for Linear Programming With Fuzzy Constraints Journal of Information Science and Engineering. ,vol. 24, pp. 801- 817 ,(2008) , 10.6688/JISE.2008.24.3.9
Dan A. Ventura, Mark Richards, Dynamic Sociometry in Particle Swarm Optimization ,(2003)
R.G. Reynolds, ChanJin Chung, Fuzzy approaches to acquiring experimental knowledge in cultural algorithms international conference on tools with artificial intelligence. pp. 260- 267 ,(1997) , 10.1109/TAI.1997.632264
Noman Islam, Muhammad Shahab Siddiqui, Zubair A. Shaikh, TODE : A Dot Net based tool for ontology development and editing international conference on computer engineering and technology. ,vol. 6, ,(2010) , 10.1109/ICCET.2010.5486292
Gary William Flake, Steve Lawrence, C. Lee Giles, Efficient identification of Web communities knowledge discovery and data mining. pp. 150- 160 ,(2000) , 10.1145/347090.347121
Richard D. Alba, A graph‐theoretic definition of a sociometric clique† Journal of Mathematical Sociology. ,vol. 3, pp. 113- 126 ,(1973) , 10.1080/0022250X.1973.9989826
Muhammad Shahab Siddiqui, Zubair A. Shaikh, Abdul Rahman Memon, Defining Marriage and Birth operators based on Community Sticker for Community Algorithm international conference on information and emerging technologies. pp. 1- 4 ,(2010) , 10.1109/ICIET.2010.5625737
Lotfi A. Zadeh, Position Paper: Toward extended fuzzy logic---A first step Fuzzy Sets and Systems. ,vol. 160, pp. 3175- 3181 ,(2009) , 10.1016/J.FSS.2009.04.009