Amina Amara, Rihem Ben Romdhane, Mohamed Ali Hadj Taieb, M. Benaouicha
{"title":"Simulating the merge between user-centered graphs of social networks","authors":"Amina Amara, Rihem Ben Romdhane, Mohamed Ali Hadj Taieb, M. Benaouicha","doi":"10.1109/AICCSA.2016.7945817","DOIUrl":null,"url":null,"abstract":"The inter-social networks data represent an important source of information for several research fields like the sentiment analysis, the content propagation and the determination of influential users. The user-centered graph of the social networks designs their connection through the users' profiles. It represents the flow of the contents propagation via inter-social networks. In this paper, we present a novel structure merging the user centered graphs of different socials networks. This structure allows the simulation and the visualization of such graphs illustrating the social networks. It is designed and developed as a plug-in within the known software Gephi1. It allows the definition of the graph structure including different parameters in relation with users and their relationships, and the generation of a graph which can be visualized and handled through several treatments present in Gephi.","PeriodicalId":448329,"journal":{"name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICCSA.2016.7945817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The inter-social networks data represent an important source of information for several research fields like the sentiment analysis, the content propagation and the determination of influential users. The user-centered graph of the social networks designs their connection through the users' profiles. It represents the flow of the contents propagation via inter-social networks. In this paper, we present a novel structure merging the user centered graphs of different socials networks. This structure allows the simulation and the visualization of such graphs illustrating the social networks. It is designed and developed as a plug-in within the known software Gephi1. It allows the definition of the graph structure including different parameters in relation with users and their relationships, and the generation of a graph which can be visualized and handled through several treatments present in Gephi.