Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Learning probabilistic models of link structure
The Journal of Machine Learning Research
The link prediction problem for social networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Structure and evolution of blogspace
Communications of the ACM - The Blogosphere
Information diffusion through blogspace
ACM SIGKDD Explorations Newsletter
Tracking Information Epidemics in Blogspace
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
Topic Development Based Refinement of Audio-Segmented Television News
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Social influence and the diffusion of user-created content
Proceedings of the 10th ACM conference on Electronic commerce
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Emerging topic detection on Twitter based on temporal and social terms evaluation
Proceedings of the Tenth International Workshop on Multimedia Data Mining
n-Gram Statistics for Natural Language Understanding and Text Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
D-INDEX: a web environment for analyzing dependences among scientific collaborators
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
| Hi-index | 0.00 |
Social networks and microblogging systems play a fundamental role in the diffusion of information. The information, from different sources, reaches each user through multiple connections, the study of which is indispensable for the sake of understanding the dynamics of its evolution and expansion. In this paper, we propose a system which enables to delve in the spread of information over a network along with the changes in the user relationships with respect to the domain of discussion. To cope up with the goal, considering Twitter as a case study, we analyse the tweets as the starting point or as the generators of the information which later flows through subsequent retweets. Furthermore, we integrate a N-Gram model classification approach for categorizing, under various domains, the information shared within the social network under consideration. We finally leverage this formalization to propose a domain-based model which aims to estimate the influence of a user, on a community, in the domain under consideration. In conclusion, using a sample of the Twitter network we then present a set of case studies and real case scenarios that show the validity of the proposed approach.