Facebook wall post processed data

Published: 4 Jan 2018 | Version 1 | DOI: 10.17632/4dwzvcdsv3.1
Contributor(s):

Description of this data

his dataset contains user’s wall post activity information during 14 October 2004 to 21st January

  1. It contains 46951 users and their wall post activity.

Experiment data files

Steps to reproduce

While data preparation we have removed the self-influence,
i.e the record where the user has acted on his own wall. Further, we have converted this into a bipartite network where
there is a link if the user has connected or posted to another user’s wall.

http://konect.uni-koblenz.de/networks/facebook-wosn-wall.
Viswanath, B., Mislove, A., Cha, M. & Gummadi, K. P. On the evolution of user interaction in Facebook. In Proc.
Workshop on Online Social Networks, 37–42 (2009).

This data is associated with the following publication:

Emerging trends in evolving networks: Recent behaviour dominant and non-dominant model

Published in: Physica A: Statistical Mechanics and its Applications

Latest version

Previous versions

  • Version 1

    2018-01-04

    Published: 2018-01-04

    DOI: 10.17632/4dwzvcdsv3.1

    Cite this dataset

    Abbas, Khushnood (2018), “Facebook wall post processed data”, Mendeley Data, v1 http://dx.doi.org/10.17632/4dwzvcdsv3.1

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Institutions

University of Electronic Science and Technology of China - Qingshuihe Campus

Categories

Machine Learning, Social Networks, Time Series, Temporal Analysis

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Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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