A network generation model of social network services by expansion of the CNN model  

Oleh:

Ueda, Atsuki ; Misawa, Tadanobu ; Hirobayashi, Shigeki

Jenis: Article from Proceeding
Dalam koleksi: The 14th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS), 3-6 December 2013 Cebu, Philippines, page 1-9.
Topik: Simulation; Social network; Complex networks; Graph theory
Fulltext: 5010_Oyabu.pdf (612.66KB)

Isi artikel

Many people use web-based SNSs (Social Networking Services). For individuals, the principal usage is for communicating with friends. The explosive popularity of SNSs, however, is now attracting the attention of companies and governments. They consider using SNSs, for example, for communicating information at the time of a disaster or for advertising. In order to effectively use these services, we must understand the characteristics of the network. Several studies have been conducted to better understand the characteristics of an SNS network. Creating a virtual network using simulation is an effective method. Other studies have concluded that the CNN (Connecting Nearest Neighbor) model is suitable for an SNS network generation model. The CNN model, however, does have a problem. It has been reported that networks based on the CNN model do not have a community element, unlike SNS networks. In this paper, we propose a network generation model for the SNS model. To ensure this is suitable, we introduce a community element into the CNN model using the homophily of human relations. We then generate two virtual networks, one using the proposed model, and the other a CNN model. We analyze these networks from four different points of view. We also compare our virtual network model with networks using the CNN model and an actual existing network. The results of our experiments show that the network using our proposed model has a community element and is more similar to actual networks than the CNN model.

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