cmqcc, Twitter, 11/4/2021 7:53:34 PM, 265487


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cmqcc_2021-11-04_12-51-01.xlsx
cmqcc_2021-11-04_12-51-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 04, 2021
Short Description:
cmqcc via NodeXL https://bit.ly/3whH58G
@cmqcc
@chrishanmfm
@stanmedmag
@kootenayobgyn
@catchthebaby
@preeclampsia
@jessica61620980
@wispqc
@lucysarahmorse
@johns16_nina

Top hashtags:
#wispqc
#hypertension
#wisconsinhospitals
#healthcarepractices
#medtwitter

Description:
Description
The graph represents a network of 70 Twitter users whose tweets in the requested range contained "cmqcc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 04 November 2021 at 19:51 UTC.

The requested start date was Thursday, 04 November 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 13-day, 0-hour, 3-minute period from Thursday, 21 October 2021 at 17:55 UTC to Wednesday, 03 November 2021 at 17:59 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 70
Unique Edges : 72
Edges With Duplicates : 148
Total Edges : 220
Number of Edge Types : 5
Replies to : 6
Mentions : 15
Retweet : 64
MentionsInRetweet : 131
Tweet : 4
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0.0291970802919708
Reciprocated Edge Ratio : 0.0567375886524823
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 70
Maximum Edges in a Connected Component : 220
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.970204
Graph Density : 0.0291925465838509
Modularity : 0.161591
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 70 Twitter users whose tweets in the requested range contained "cmqcc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 04 November 2021 at 19:51 UTC.

The requested start date was Thursday, 04 November 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 13-day, 0-hour, 3-minute period from Thursday, 21 October 2021 at 17:55 UTC to Wednesday, 03 November 2021 at 17:59 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : cmqcc
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[2] https://live-caperinatalprograms.pantheonsite.io/wp-content/uploads/2021/10/FINAL_Spanish-COVID_Vaccine_Sheet.pdf
[2] https://live-caperinatalprograms.pantheonsite.io/wp-content/uploads/2021/10/COVID-Vaccine-Fact-Sheet-FINAL-10.20.pdf
[2] https://stanford.zoom.us/webinar/register/WN_ARH-qi3CSVaCb6l4l0OKiQ
[1] https://twitter.com/cmqcc/status/1455330798861570048
[1] https://3b04f4cb-3717-4b9d-8cb8-5beed185dbce.filesusr.com/ugd/69ad9c_6443e094ae7a4b47b6a7220d92f484ff.pdf
[1] https://stanmed.stanford.edu/2021issue2/upfront/pregnant-women-nitrates-link-premature-birth.html?sf152864283=1
[1] https://twitter.com/ChrisHanMFM/status/1451245886877560833
[1] https://caperinatalprograms.org/
[1] https://twitter.com/ChrisHanMFM/status/1452708228568006658

Top URLs in Tweet in G1:
[2] https://stanford.zoom.us/webinar/register/WN_ARH-qi3CSVaCb6l4l0OKiQ
[1] https://caperinatalprograms.org/
[1] https://twitter.com/ChrisHanMFM/status/1452708228568006658
[1] https://twitter.com/cmqcc/status/1455330798861570048
[1] https://3b04f4cb-3717-4b9d-8cb8-5beed185dbce.filesusr.com/ugd/69ad9c_6443e094ae7a4b47b6a7220d92f484ff.pdf

Top URLs in Tweet in G2:
[2] https://live-caperinatalprograms.pantheonsite.io/wp-content/uploads/2021/10/COVID-Vaccine-Fact-Sheet-FINAL-10.20.pdf
[2] https://live-caperinatalprograms.pantheonsite.io/wp-content/uploads/2021/10/FINAL_Spanish-COVID_Vaccine_Sheet.pdf
[1] https://twitter.com/ChrisHanMFM/status/1451245886877560833

Top URLs in Tweet in G3:
[1] https://stanmed.stanford.edu/2021issue2/upfront/pregnant-women-nitrates-link-premature-birth.html?sf152864283=1

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2] wispqc
[2] hypertension
[1] wisconsinhospitals
[1] healthcarepractices
[1] medtwitter
[1] obtwitter
[1] blackmothers
[1] blackvoices
[1] blackwellness
[1] stanfordmedmag



Top Hashtags in Tweet in G1:
[2] wispqc
[2] hypertension
[1] wisconsinhospitals
[1] healthcarepractices
[1] medtwitter
[1] obtwitter
[1] blackmothers
[1] blackvoices
[1] blackwellness

Top Hashtags in Tweet in G3:
[1] stanfordmedmag

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@ketaminh
@kaploded
@jaulloque
@catchthebaby
@lasajfam
@realhayman
@jessica61620980
@drsuegross
@theobgproject
@drpwh62

Top Tweeters in G1:
@ketaminh
@kaploded
@jessica61620980
@mysmfm
@margaretdumon12
@preeclampsia
@carynjrogers
@yafshar
@julieoudet
@creamofcroppaul

Top Tweeters in G2:
@jaulloque
@catchthebaby
@lasajfam
@realhayman
@drsuegross
@theobgproject
@drpwh62
@janevandis
@cclaremdmph
@shuhibamohammad

Top Tweeters in G3:
@stanfordchild
@stanmedmag

Top Tweeters in G4:
@chhsagency
@kootenayobgyn