Research On Context Acquisition Techniques For Social Environment

As Database,Internet.Distributed Computing,Pervasive Computing and Social Computing technology fast development,the Social Aware Computing technology research,industry and the wide attention of scholars at home and abroad.At the same time,Based on the Aware Computing of social environment application has also been developed,such as Social relations recommendation systems,personalized services recommendation system,localization make an appointment service system.GPS assistant system and team dynamics analysis system,etc.These research results,not only achieved good social benefits and economic benefits,at the same time promote the technology development of various disciplines.Greatly enhances the ability of human social information and means.In social environment and the development of events,involves a variety of situational factors interaction.How to these trends,irregular,time characteristics and spatial characteristics in the data to obtain the corresponding situation information,Implement people-centered data calculation,in order to serve the society as the object,to understand and verify human social activity and social behavior;is the current social focus topic in the field of information research.Among them,Research on Context Acquisition Techniques for Social Environment,according to the development of the social environment,with a mechanism for computing context in the environment,user context,social context and time context of polymerization,access to the context of a high-level aggregate object.This topic research on Context Acquisition Techniques for Social Environment,on the premise of guarantee the correlation between different context,through the corresponding polymerization technology,the variety of context information according to some mechanism to unify,the context of the dispersed,atomic element information are combined,to form of high-level context object,finally completed a variety of effective aggregation of social context.First of all,in allusion to computing context and time context of polymerization problem,put forward based on temporal evolution computing context elements and two kinds of aggregate object.And aggregation algorithm design based on Time-Series evolution of computing context,use for solving context polymerization.In addition,through calculating the context element Time-Series polymerization between the objects divided into positive correlation and negative correlation result sets,effectively reflect the fluctuations in the process.Experimental results show that using the proposed calculation context elements,is better than traditional betweenness index can reflect the connectivity of the Time-Series social network structure and the changes of the information resources context,nearby achieve good context aggregation effect.Second,in allusion to many kinds of context element calculation evolution context problem,Under the context of time-series evolution context is analyze,put forward elements of evolution context,and relationship between the element model.On the calculation method,put forward based on AOC autonomous computing technology to solve this problem,and based on the AOC autonomous evolution context aggregation framework.According the context design to the A unit of state space,A unit operation rules and mobile strategy.In A unit Meeting-shared rules,effectively improve the information sharing between A unit,and can change A unit current running status,so as to improve operation efficiency.In addition the framework can be selected according to the environment context elements,while solving the item can set the tendency item,periodic item and random item definition of function,and the space state,behavior rules and mobile strategy,etc.,to solve the environment has good interactivity and flexibility.And by comparison with experimental data,the analysis of the effect of different context elements on the AOC execution time,as well as A unit to meet rules of the influence of execution time.Respectively in acquiring in the process of the evolution of the context,the context elements of two different evolution,from the computation results can see clear context elements change trend,and presents the processes of the positive and negative process.Again,in allusion to 2-Mode environment aware balance relationship problems are discussion.On the basis of the Relationship-Balance,and according to the characteristics of the 2-Mode network environment,puts forward the Relationship-Balance Gather Subgroup and context entity of Balance Gather Coefficient and used for Group Behavior Analysis.Use the Balance Gather of threshold method transformation iterative optimization problem in the computing process and putting forward the CABS-2mode algorithm used in the Group Clustering.The CABC-2mode algorithm is used in the acquisition of Balance Gather Coefficient.Balance experiments show that the algorithm based on Relationship-Balance Subgroup,using the time-context and social-context fusion parameters and accessing to Aware Relationship-Balance of the entity in the context value,then analyzing the Subgroup of Balance to the intensity fluctuation process and the entity of behavior process.n the end,in allusion to multidimensional context aggregation model problem,put forward multi-dimensional overlapping structure and its projection situation,and formal definition.On the basis of this,fully considering the similarity,the connection local-world factors,put forward multidimensional context aggregation model,design MWCMA algorithm of multidimensional context aggregation.By the advantage of different evaluation standard authentication algorithm,on the aggregation effect test,through a user context and social context data aggregation results it can be seen that the model and algorithm can identify the overlap type relationship,and with the directional connection boundary is given a weight,showed relatively good multidimensional context aggregation effect.