Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/11939
Title: | A novel approach to information spreading models for social networks | Authors: | Sayın, Burcu Şahin, Serap 01. Izmir Institute of Technology 01. Izmir Institute of Technology |
Keywords: | Social network analysis Information spreading Information cascades |
Issue Date: | 2017 | Publisher: | International Academy, Research, and Industry Association (IARIA) | Abstract: | Analyzing and modelling the spreading of any information through a social network (SN) is an important issue in social network analysis. Proposed solutions for this issue do not only help observing the information diffusion but also serve as a valuable resource for predicting the characteristics of the network, developing network-specific advertising etc. Up-to-date approaches include probabilistic analysis of information spreading and the information cascade models. In this paper, we propose a hybrid model which considers an information spreading model, combines it with cascades and social behavior analysis. We propose a new hybrid usage approach to represent a real-world modelling for information spreading process. | Description: | The Sixth International Conference on Data Analytics, November 12 - 16, 2017, Barcelona, Spain | URI: | https://hdl.handle.net/11147/11939 |
Appears in Collections: | Computer Engineering / Bilgisayar Mühendisliği |
Files in This Item:
File | Description | Size | Format | |
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Approach_Information.pdf | Conference Object | 457.61 kB | Adobe PDF | View/Open |
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