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Measurement Technique Research Of Social Network Tie Strength Based On Multisource Mobile Data

Posted on:2015-03-21Degree:MasterType:Thesis
Country:ChinaCandidate:X C HeFull Text:PDF
GTID:2348330509960664Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Increasing of the smart mobile phone has brought the popularization of mobile social networking. At the same time as the intelligent mobile phone on multi-source interactively pop, makes the cloud has accumulated a large number of data in the mobile social networking. Social data through these multi-source can effectively for social network analysis. For the analysis of social network research belongs to the category of social network analysis research field, is the primary goal of social network analysis is the analysis of the relationship of social network. A little a lot of research the relationship between the social network, wherein the measurement work relationship strength is the basis of other research work. How to through the social network relation intensity measurement becomes the hotspot of the current research of multi-source data access to mobile.With the above-mentioned problems in the full analysis of research on the foundation study progress in the situation, the strength of social networks and the development trend of mobile social network to study the relationship between social network analysis on. Mainly introduces the relationship between the social network data acquisition, these three aspects related to the measurement technology of mobile social network data processing and the strength of social networks. And then based on the social network analysis as the background, focuses on the analysis and processing of multisource mobile data, and based on this work, aiming at multi-source strength of social networks polymerization measurement this study conducted in-depth research point. This work is mainly manifested in the following three aspects:1) Aiming at the problem of the current multisource mobile data are large in scale,many data types, processing is complex, low efficiency, and proposed a multi-source mobile social network analysis model for mobile social network analysis of multi-source data processing. Specifically, the proposed multi agent based mobile data processing mechanism to effectively process the multi-source mobile data, to realize visualization of multi-source network of social function with multi-source Visualization Mechanism Based on Networkx is proposed. In the agency involves two aspects of research content of abnormal data and the data retrieval, the abnormal data is complex and changeable, the data changes lead to sustained changes in the problem data retrieval,are proposed based on multi-source data processing mechanism and rules of abnormal redirection based multi-source moving data retrieval mechanism.2) With multi-source mobile relationship strength polymerization measurement research problems as the background, aiming at the single source of relationship strength measurement algorithm cannot carry out this problem to measure the multi-source relationship strength, proposed a multi-source linear regression model aggregation measurement algorithm based on. Algorithm for the efficient calculation ofthe strength of relationship model by multi-source relationship to construct a linear regression of the polymerization, the establishment of the model of machine learning method which is based on training, a month of mobile data training set data from 15 recruited volunteers to contribute to the need. Training model can show the influence of different interactive mode for dynamic calculation of the proportion of relationship strength, relationship strength, and aiming at multi-source data input and has a good scalability.3) With multi-source mobile social network analysis framework as the basis, the realization of a multi mobile data processing platform and the prototype experiment and demonstration. The mobile terminal of the platform in the Ubi Log open source software and become, cloud data processing and algorithm realization based on the complete Python language code, data analysis based on Matplotlib of Python and R, the social network visualization part based on Networkx coding to achieve.
Keywords/Search Tags:Social network analysis, Tie Strength, Smartphone, Mobile data, Multisource data
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