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README.md
RPI_Expertise_2016_Features.csv

README.md

The latest version of this dataset can be found in:

https://github.com/rpitrust/expertisedataset/

Heuristics for Identifying Experts in Twitter

This is an anonymized dataset used for understanding how users identified as experts by others use Twitter differently than other users.

The dataset contains four types of users:

  • experts
  • friends of experts (users that experts follow)
  • mentions (users that experts mention in their messages), and
  • medium hashtag (users who use the same hashtags as experts, excluding outliers).

Each of the four domains: Science, Technology, Health and Fitness, and Business have similar number of users from group. Messages are collected between September-November 2015.

Files:

  • user_features.csv: the features for each user groups

Copyright (c) 2016, Benjamin D. Horne, Dorit Nevo, Jesse Freitas, Heng Ji & Sibel Adali

All rights reserved.

Redistribution and use in any form, with or without modification, are permitted provided that the above copyright notice, this list of conditions and the following disclaimer are retained.

Any publication resulting from the use of this work must cite the following publication::

Expertise in Social Networks: How Do Experts Differ From Other Users?
Benjamin D. Horne, Dorit Nevo, Jesse Freitas, Heng Ji & Sibel Adali,
ICWSM 2016.

THIS DATASET IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.