Research On Characterization Of Characters Based On Electronic Data

Due to the fact that electronic data deeply affect people’s life,people’s social networks,professions,personalities and so on can be accessed to.For example,in terms of public security,cases tend to be cracked via electronic data with regards to suspects which help access to the clues recording the suspects’ crime.The analysis and research on the existing electronic data revolve around mainly the online dynamic data while the research on analyzing personal characteristics via static datas of mobile phones still lacks.The article describes how to access to static data of mobile phones via mobile phone forensic devices and raises the approaches how to analyze the features of characters from the perspectives of social networks and text messages by studying three kinds of communication data: address books,call log and message recorders.From the views of analyzing social networks,we devise a way of analyzing characters’ social networks via address books,call log and message recorders.By means of this approach,the article establishes a correlativity model to describe the relation between mobile owners and contact people present in the mobile phones by combining data attribute and data bulk,and combines the model and an open source software called gephi as to visualize the characters’ social networks and conduct a intuitive study.From the perspective of analyzing text messages,we devise a way of analyzing via mobile phones’ messages text data.The way is implemented by means of open source R tools.It can segment words in the text data,and delete stop word data.Then it exacts characteristics via word-frequency statistics and combines visualization technologies at last by presenting results via wordle to conduct more visualized analysis.The research on experiment shows that the way of portraying people’s characteristics via three kinds of communication datas in the mobile phones can better delve into characters’ charateristics of social networks and text messages.The analysis of social networks can present the structural characteristics of people’s social networks and delve into some hidden information.The way of portraying people’s characteristics can improve the efficiency of analyzing text messages,save time in the initial analysis of characters and could quickly analyze characters’ related information.In short,the article,by means of electronic data,provides a new perspective for studying the features of characters in the work of public security and endows the work with some practical significance.