Abstract
After success of Web 2.0, several web services are easily available and accessible. This has led to a rapid growth of both web users and objects. In this paper, we propose a growth model for user-object bipartite network that describes selection pattern of web objects. Here, both users and objects grow but edges evolve only from the object set. The network evolves by the arrival of external edges brought by new objects and/or internal edges created by old objects. Attachment of these edges to the users is either purely preferential to the degree of the users or purely random. We evaluate our proposed model using six real world user-object bipartite networks. The result shows good agreements between real data, model and simulation. We propose a novel technique to compute the number of preferential and random external and internal edges at each time step during the evolution of the network. Interesting inferences are reported after analysing and comparing different parameters of the model.
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Chandra, A., Garg, H., Maiti, A. (2017). How Fair Is Your Network to New and Old Objects?: A Modeling of Object Selection in Web Based User-Object Networks. In: Bouguettaya, A., et al. Web Information Systems Engineering – WISE 2017. WISE 2017. Lecture Notes in Computer Science(), vol 10570. Springer, Cham. https://doi.org/10.1007/978-3-319-68786-5_7
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DOI: https://doi.org/10.1007/978-3-319-68786-5_7
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