From be47f27ad7a4f7cc392f72af7b79b7399632ee57 Mon Sep 17 00:00:00 2001 From: "Jose R. Zapata" Date: Sat, 1 May 2021 12:52:00 -0500 Subject: [PATCH] update files --- README.md | 5 ++++- setup.py | 5 +++-- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index c83d82e..acf7b25 100644 --- a/README.md +++ b/README.md @@ -14,6 +14,9 @@ CLSB refers to a specific coordinated activity performed by a network of Faceboo To identify such networks, we designed, implemented and tested an algorithm that detects sets of Facebook public entities which performed CLSB by (1) estimating a time threshold that identifies URLs shares performed by multiple distinguished entities within an unusually short period of time (as compared to the entire dataset), and (2) grouping the entities that repeatedly shared the same news story within this coordination interval. The rationale is that, while it may be common that several entities share the same URLs, it is unlikely, unless a consistent coordination exists, that this occurs within the time threshold and repeatedly. ## Installation + +[https://pypi.org/project/pycoornet/](https://pypi.org/project/pycoornet/) + ```sh pip install pycoornet ``` @@ -36,7 +39,7 @@ def main(): links_df = pd.read_csv('samples/sample_source_links.csv') # Init CrowdTangle with api key crowd_tangle = CrowdTangle("abc123def345") - ct_df = crowd_tangle.get_shares(urls=links_df, url_column='clean_url', date_column='date',clean_urls=True, platforms='facebook', sleep_time=1) + ct_df = crowd_tangle.get_shares(urls=links_df, url_column='clean_url', date_column='date',clean_urls=True, platforms='facebook', sleep_time=30) shared = Shared() crowtangle_shares_df, shares_graph, q = shared.coord_shares(ct_df, clean_urls=True) diff --git a/setup.py b/setup.py index e3daf71..06a4cb3 100644 --- a/setup.py +++ b/setup.py @@ -14,12 +14,13 @@ setup( name="pycoornet", - version="0.2.2", + version="0.2.3", description="Using Python Given a set of URLs, this packages detects coordinated link sharing behavior on social media and outputs the network of entities that performed such behaviour.", long_description=long_description, long_description_content_type="text/markdown", author = 'Camilo Andres Soto Montoya, Jose R. Zapata', - author_email = 'camilo.soto@outlook.com, ', + author_email = 'camilo.soto@outlook.com, jjrzg@hotmail.com', + url="https://github.com/UPB-SS1/PyCooRnet", packages=find_packages(where='src' ,exclude=["tests", "*.test", "*.tes.*"]), package_dir={