Data sets and source code for Influential Users in Social Networks.
Flickr's dataset
The Flickr dataset is downloaded from one of the groups
in Flickr that includes users, photos and interactions. A total of 30758 users have
participated in the group where some of them can be popular
by posting photos, while others only interact with other users.
1559 users have posted photos uploading 4991
uploaded photos. There are 46059 interactions between users
by commenting on or favoring uploaded photos. The users IDs have been anonymized. The source code along with the read me file are also atatched below. It is written in java.
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Flickrdataset.txt: The first row contains the number of nodes, then followed by the nodes, then followed by the edges. This is the formatted file to be used in the source code. [ Flickrdataset.txt ]
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Flickrnodes.txt: Contains all the users in the dataset [ FlickrNodes.txt ]
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Flickredges.txt: Represent the source node, who initiated the interaction(s), the destination node, who revived the interaction(s), and the weight representing the number of interactions between users. [ FlickrEdges.txt ]
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Flickruploaders.txt: Represent the contributing users and the number of photos uploaded by each one.
The four files can be downloaded using the following URLs. [ Flickruploaders.txt ]
Digg's dataset
For the digg data set. Please visit the following website and use The votes data set. http://www.isi.edu/~lerman/downloads/digg2009.html
Please note that. You need to format the data file and generte two text files to be able to work in our source code.
The first one is in following format:
The first raw should include the total number of nodes in the network. Followed by the nodes and then the edges.
While the second file contains the users who uploaded posts and how many posts they upload. To make it easy, we have created these data files.
If you use the source code, Flickr's dataset or both please cite us using:
Almgren, K., Lee, J. (2015). Who Influences Whom: Content-based Approach for Predicting Influential Users in Social Networks:International Conference on Advances in Big Data Analytics (ABDA), (pp. 89-99), Las Vegas, USA
Last
updated: 08/19/2015
