#CDCTips, Twitter, 11/20/2021 2:57:10 PM, 266761


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#CDCTips_2021-11-20_06-54-01.xlsx
#CDCTips_2021-11-20_06-54-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 20, 2021
Short Description:
#CDCTips via NodeXL https://bit.ly/3CC3Wgw
@cdctobaccofree
@cdcgov
@frailtyscience
@ecdoh
@smokefreettown
@cabell_hlthdept
@lnkhealth
@copd_research
@teamsarpycass
@srmartinezdo

Top hashtags:
#cdctips
#nationalcopdawarenessmonth
#nationalfamilycaregiversmonth

Description:
Description
The graph represents a network of 31 Twitter users whose tweets in the requested range contained "#CDCTips", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 20 November 2021 at 14:54 UTC.

The requested start date was Saturday, 20 November 2021 at 01:01 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, 3-hour, 30-minute period from Saturday, 06 November 2021 at 19:30 UTC to Friday, 19 November 2021 at 23:00 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 : 31
Unique Edges : 8
Edges With Duplicates : 51
Total Edges : 59
Number of Edge Types : 4
Tweet : 14
Retweet : 22
MentionsInRetweet : 22
Mentions : 1
Self-Loops : 14
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 9
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 20
Maximum Edges in a Connected Component : 46
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.747017
Graph Density : 0.0236559139784946
Modularity : 0.329862
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 31 Twitter users whose tweets in the requested range contained "#CDCTips", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 20 November 2021 at 14:54 UTC.

The requested start date was Saturday, 20 November 2021 at 01:01 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, 3-hour, 30-minute period from Saturday, 06 November 2021 at 19:30 UTC to Friday, 19 November 2021 at 23:00 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 : #CDCTips
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://cdc.gov/quit
[2] https://www.youtube.com/watch?v=CRpA0-_zbgQ

[1] https://youtu.be/qXUpSpH9HpQ
[1] https://www.youtube.com/watch?v=pV6MUmoaeXY

[1] https://cdc.gov/
[1] https://www.cdc.gov/tobacco/campaign/tips/groups/caregivers.html.
[1] https://www.cdc.gov/tobacco/campaign/tips/diseases/diabetes.html
[1] https://www.cdc.gov/tobacco/campaign/tips/stories/leonard.html

Top URLs in Tweet in G1:
[2] https://cdc.gov/quit
[1] https://www.cdc.gov/tobacco/campaign/tips/groups/caregivers.html.
[1] https://www.cdc.gov/tobacco/campaign/tips/diseases/diabetes.html

Top URLs in Tweet in G2:
[2] https://www.youtube.com/watch?v=CRpA0-_zbgQ

[1] https://cdc.gov/
[1] https://youtu.be/qXUpSpH9HpQ

Top URLs in Tweet in G3:
[1] https://www.cdc.gov/tobacco/campaign/tips/stories/leonard.html

Top URLs in Tweet in G4:
[1] https://www.youtube.com/watch?v=pV6MUmoaeXY


Top Domains
Top Domains in Tweet in Entire Graph:
[6] cdc.gov
[3] youtube.com
[1] youtu.be

Top Domains in Tweet in G1:
[4] cdc.gov

Top Domains in Tweet in G2:
[2] youtube.com
[1] cdc.gov
[1] youtu.be

Top Domains in Tweet in G3:
[1] cdc.gov

Top Domains in Tweet in G4:
[1] youtube.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[19] cdctips
[9] nationalcopdawarenessmonth
[5] nationalfamilycaregiversmonth
[2] smoking
[2] lungcancer
[2] november
[2] copd
[1] lcsm
[1] mccp
[1] health406



Top Hashtags in Tweet in G1:
[10] cdctips
[7] nationalcopdawarenessmonth
[5] nationalfamilycaregiversmonth

Top Hashtags in Tweet in G2:
[7] cdctips
[2] nationalcopdawarenessmonth
[2] lungcancer
[2] smoking
[1] dyk
[1] tobacco
[1] quit
[1] worldprematurityday
[1] nequitline
[1] lcsm

Top Hashtags in Tweet in G3:
[1] cdctips

Top Hashtags in Tweet in G4:
[2] november
[2] copd
[1] cdctips
[1] lnk

Top Words
Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[16] smoking,related
[14] going,smokefree
[14] smokefree,reduce
[14] reduce,risk
[14] risk,developing
[14] developing,copd
[14] copd,smoking
[14] related,illnesses
[11] life,#cdctips
[10] take,step

Top Word Pairs in Tweet in G1:
[12] going,smokefree
[12] smokefree,reduce
[12] reduce,risk
[12] risk,developing
[12] developing,copd
[12] copd,smoking
[12] smoking,related
[12] related,illnesses
[9] cdctobaccofree,going
[9] illnesses,#nationalcopdawarene

Top Word Pairs in Tweet in G2:
[3] life,#cdctips
[2] going,smokefree
[2] smokefree,reduce
[2] reduce,risk
[2] risk,developing
[2] developing,copd
[2] copd,smoking
[2] smoking,related
[2] related,illnesses
[2] illnesses,#nationalcopdawarenessmonth

Top Word Pairs in Tweet in G3:
[2] smoking,caused
[2] caused,leonard
[2] leonard,nimoy
[2] nimoy,chronic
[2] chronic,obstructive
[2] obstructive,pulmonary
[2] pulmonary,disease
[2] disease,copd
[2] copd,death
[2] death,learn

Top Word Pairs in Tweet in G4:
[2] #november,#copd
[2] #copd,awareness
[2] awareness,month
[2] month,listen
[2] listen,geri's
[2] geri's,story
[2] story,smoking
[2] smoking,related
[2] related,copd
[2] copd,diagnosis

Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@rjber15
@johnapp63499667
@copd_research
@grossamilee
@cdcgov
@sinupinme1
@smokefreelife
@ecdoh
@cdc_cancer
@smokefreeus

Top Tweeters in G1:
@rjber15
@johnapp63499667
@grossamilee
@sinupinme1
@ecdoh
@cdc_cancer
@smokefreeus
@niosh_npptl
@cabell_hlthdept
@cdctobaccofree

Top Tweeters in G2:
@warrencohealth
@burlington_mrc
@health406
@nyecommunities
@bethanndice
@ncdhealth

Top Tweeters in G3:
@cdcgov
@smokefreelife
@nimoycopdfilm

Top Tweeters in G4:
@copd_research
@lnkhealth


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