Social informatics : 7th International Conference, SocInfo by Tie-Yan Liu, Christie Napa Scollon, Wenwu Zhu

By Tie-Yan Liu, Christie Napa Scollon, Wenwu Zhu

This publication constitutes the court cases of the seventh foreign convention on Social Informatics, SocInfo 2015, held in Beijing, China, in December 2015.

The 19 papers awarded during this quantity have been rigorously reviewed and chosen from forty two submissions. They hide themes reminiscent of consumer modeling, opinion mining, consumer habit, and crowd sourcing.

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Extra resources for Social informatics : 7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015 : proceedings

Example text

Compared with previous work that reported the following and follower distributions in Twitter [8], there is a much larger gap between the distribution of the number of followers and the number of followings of Vine users. 27% have more than 10,000 followers. P(X>=k) 10 0 Followers Followings 10 -5 10 0 10 2 10 4 10 6 10 8 k Fig. 2. CCDFs of the number of followers and followings in Vine. Fig. 3. CCDFs of the number of revines, loops, comments, and likes in Vine. Figure 3 provides the CCDFs for the number of times a seed video has been played as a loop, has been shared as a revine, has been liked and has been commented upon.

Figure 3 provides the CCDFs for the number of times a seed video has been played as a loop, has been shared as a revine, has been liked and has been commented upon. , there is a long tail), possibly due to the auto-looping feature. Revining and liking have lower and very similar distributions. Commenting has the distinctly lowest CCDF curve among the features considered for a post. Table 2 provides the mean, median and maximum values for all user features, including the total number of followers and followings, total number of Analyzing Factors Impacting Revining on the Vine Social Network 21 Table 2.

A breakdown of the user contributions is shown in Table 4. One simple finding is that many Yahoo! Chiebukuro users were light users; they used it once and then stopped using the service. A third or more of the users left the community after asking or answering once. Some were askers who asked only once and left the service. Apparently, they had a problem and they used the service to find a solution. Once they had a solution, they stopped using the service. There were some heavy users as well. They used the service for a long time and frequently post both questions and answers.

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