MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
User interactions in social networks and their implications
Proceedings of the 4th ACM European conference on Computer systems
Analyzing (social media) networks with NodeXL
Proceedings of the fourth international conference on Communities and technologies
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
| Hi-index | 0.00 |
Recently, various studies have been studying for measuring social relationship among online users by using social network service and expressing relationship through network. However, these previous researches did not consider the current time or generate relationships among the users, so they cannot clearly express the real time relationships among the users. In this study, to solve such problems, we collected the tweets of the Twitter and constructed a database by extracting user ID and hash tag based on MapReduce algorithm. By utilizing this, Twitter user relationship network map is designed and established, and this is compared and evaluated against Mentionmap network. As a result, the Twitter Network Map generated by the proposed method was more effective than the existing Mentionmap which used twitter OpenAPI.