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30 results for “social network analysis”
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Research ArticleOpen accessIn the abstractSentiment Analysis of French Tweets based on Subjective Lexicon Approach: Evaluation of the use of OpenNLP and CoreNLP ToolsAbdelkader Rhouati, Jamal Berrich, Mohammed G. Belkasmi, Toumi BouchentoufNowadays, sentiment analysis is becoming a very important issue of research. This paper present experimentation on sentiment analysis based on subjective lexicon method. This experimentation is tested over French tweets using "Public Opinion Knowledge (POK)" platform. POK is a platform consists in getting public opinion orientation from text extracted from social network and blogs, which we have developed and presented … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,339 accessesView PDFCite
Literature ReviewOpen accessIn the abstractSocial Cohesion: Its Meaning and ComplexitiesItumeleng Mekoa, Dauda BusariThe concept Social cohesion is relative and a somewhat difficult concept to define. Many scholars have offered varying degree of definitions but the main challenge noticed in the definition, is the multiple definitions based on individual scholar’s orientation or ideology. Another problem poised by these definitions of the concept is that of multi-level and multi-dimensional nature. Contemporary scholars of social … …Journal of Social Sciences, Vol. 14, Issue 1 · 27 Mar 2018 · 9,915 accessesView PDFCite
Review ArticleOpen accessIn the abstractHealthcare Driven by Big Data AnalyticsCheryl Ann Alexander, Lidong WangText messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 28 Sep 2018 · 7,398 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Analysis of Network ODE Systems in Metric Spaces: An ApproachSusmit BagchiTraditionally, the concepts of graph theory are applied to design stationary computer networks and, to analyze dynamics of social networks. However, the majority of non-stationary network models are formulated by using Ordinary Differential Equations (ODE) with varying orders having homogeneous or non-homogeneous forms. However, the analysis of continuous solution spaces of ODE and understanding of the interplay of spaces in … …Journal of Computer Science, Vol. 13, Issue 1 · 1 Mar 2017 · 7,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedia Identity in Structure of Personality: Formation and TypologyIgor Nikolaevich Blokhin, Sergey Nikolaevich Ilchenko, Lyudmila Petrovna ShesterkinaThe study provides the analysis of different approaches to determining media identity. This phenomenon is substantiated in the context of media landscape as a complex of relationships and communicative actions of a personality within the media system. The role of social relations in the processes of building the structure of personality is considered together with anthropological, sociological and psychological peculiarities … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 27 May 2016 · 7,309 accessesView PDFCite
Research ArticleOpen accessIn the abstractA STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKSSaini Jacob Soman, S. MurugappanIn today's world, the issue of identifying spammers has received increasing attention because of its practical relevance in the field of social network analysis. The growing popularity of social networking sites has made them prime targets for spammers. By allowing users to publicize and share their independently generated content, online social networks become susceptible to different types of malicious and … …Journal of Computer Science, Vol. 10, Issue 10 · 8 Jul 2014 · 6,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractNEURO FUZZY LINK BASED CLASSIFIER FOR THE ANALYSIS OF BEHAVIOR MODELS IN SOCIAL NETWORKSKannan Arputharaj, Ghosh Dalim Kumar, Indira Priya Ponnuvel, Ganapathy SannasiIn this study, a new link based classifier using neuro fuzzy logic has been proposed for analyzing the social behavior based on Weblog dataset. In this system, data are processed using a multistage structure. This system provides a diagnosis using a neuro fuzzy link based classifier that analyses the user’s behavior to specific diagnostic categories based on their cluster category … …Journal of Computer Science, Vol. 10, Issue 4 · 9 Dec 2013 · 6,892 accessesView PDFCite
Research ArticleOpen accessIn the abstractANALYSIS OF INTERNET TRAFFIC IN EDUCATIONAL NETWORK BASED ON USERS’ PREFERENCESMustafa M.H. Ibrahim, Mohd Hasbullah Omar, Adib M. Monzer Habbal, Khuzairi Mohd ZainiThe demand for Internet services and network resources in Educational networks are increasing rapidly. Specifically, the revolution of web 2.0 "also referred to as the Read-Write Web" has changed the way of information exchange and distribution. Although web 2.0 has gained attraction in all sectors of the education industry, but it results in high-traffic loads on networks which often leads … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractUSER RECOMMENDATION ALGORITHM IN SOCIAL TAGGING SYSTEM BASED ON HYBRID USER TRUSTWong Pei Voon, Norwati Mustapha, Nasir SulaimanWith the rapid growth of web 2.0 technologies, tagging become much more important today to facilitate personal organization and also provide a possibility for users to search information or discover new things with Collaborative Tagging Systems. However, the simplistic and user-centered design of this kind of systems cause the task of finding personally interesting users is becoming quite out of … …Journal of Computer Science, Vol. 9, Issue 8 · 5 Jul 2013 · 7,550 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of Multiple Linear Regression and Nonlinear Neural Networks and Fuzzy Logic Techniques in Modelling House PricesSiti Amri, Gurudeo Anand TularamHouse price prediction continues to be important for government agencies insurance companies and real estate industry. This study investigates the performance of house sales price models based on linear and non-linear approaches to study the effects of selected variables. Linear stepwise Multiple Regression (MR) and nonlinear models of Neural Network (NN) and Adaptive Neuro-Fuzzy (ANFIS) are developed and compared. The … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 18 Dec 2012 · 8,430 accessesView PDFCite