@pew, Twitter, 12/20/2020 7:51:40 PM, 243762


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@pew_2020-12-20_09-58-25.xlsx
@pew_2020-12-20_09-58-25.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 20, 2020
Short Description:
@pew via NodeXL https://bit.ly/2WyTCDy
@pew
@shuvode95114106
@fran_neena20409
@bigbetanalytics
@robin_cohn
@oceanunite
@cyberdigitaltec
@newtechtwin
@atomantpr
@cornelisrob

Top hashtags:
#corals
#automation
#futureofwork
#msm
#rightwingmedia
#bothsidesisms
#trust

Description:
Description
The graph represents a network of 40 Twitter users whose tweets in the requested range contained "@pew", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 20 December 2020 at 17:58 UTC.

The requested start date was Saturday, 19 December 2020 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 12-day, 1-hour, 44-minute period from Saturday, 05 December 2020 at 17:03 UTC to Thursday, 17 December 2020 at 18:48 UTC.

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 : 40
Unique Edges : 37
Edges With Duplicates : 18
Total Edges : 55
Number of Edge Types : 4
Mentions : 35
Replies to : 5
MentionsInRetweet : 9
Retweet : 6
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 40
Maximum Edges in a Connected Component : 55
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.94625
Graph Density : 0.0294871794871795
Modularity : 0.556198
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 40 Twitter users whose tweets in the requested range contained "@pew", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 20 December 2020 at 17:58 UTC.

The requested start date was Saturday, 19 December 2020 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 12-day, 1-hour, 44-minute period from Saturday, 05 December 2020 at 17:03 UTC to Thursday, 17 December 2020 at 18:48 UTC.

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 : @pew
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://www.weforum.org/agenda/2020/10/trust-science-india-pew-research-center?utm_source=twitter&utm_medium=social_scheduler&utm_term=Precision+Medicine&utm_content=09/10/2020+04:00
[2] https://www.pewtrusts.org/en/research-and-analysis/reports/2020/11/health-care-can-learn-from-global-use-of-biometrics?utm_content=buffer10f7d&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://twitter.com/eugenegu/status/1339640420381310978
[1] https://twitter.com/manuelnatal/status/1339351533247492100
[1] https://doyle.house.gov/sites/doyle.house.gov/files/documents/2020%2012%2014%20House%20PASTEUR%20Letter-%20Pew%20Charitable%20Trusts.pdf
[1] https://www.journalism.org/2020/12/08/measuring-news-consumption-in-a-digital-era/
[1] https://www.pewtrusts.org/en/research-and-analysis/data-visualizations/2020/deep-sea-oasis-of-corals-sponges-and-vents-could-become-canadas-largest-marine-protected-area

Top URLs in Tweet in G2:
[2] https://www.pewtrusts.org/en/research-and-analysis/reports/2020/11/health-care-can-learn-from-global-use-of-biometrics?utm_content=buffer10f7d&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://twitter.com/manuelnatal/status/1339351533247492100
[1] https://doyle.house.gov/sites/doyle.house.gov/files/documents/2020%2012%2014%20House%20PASTEUR%20Letter-%20Pew%20Charitable%20Trusts.pdf

Top URLs in Tweet in G3:
[2] https://www.weforum.org/agenda/2020/10/trust-science-india-pew-research-center?utm_source=twitter&utm_medium=social_scheduler&utm_term=Precision+Medicine&utm_content=09/10/2020+04:00

Top URLs in Tweet in G4:
[1] https://twitter.com/eugenegu/status/1339640420381310978

Top URLs in Tweet in G5:
[1] https://www.pewtrusts.org/en/research-and-analysis/data-visualizations/2020/deep-sea-oasis-of-corals-sponges-and-vents-could-become-canadas-largest-marine-protected-area

Top URLs in Tweet in G7:
[1] https://www.journalism.org/2020/12/08/measuring-news-consumption-in-a-digital-era/

Top Domains
Top Domains in Tweet in Entire Graph:
[3] pewtrusts.org
[2] twitter.com
[2] weforum.org
[1] house.gov
[1] journalism.org

Top Domains in Tweet in G2:
[2] pewtrusts.org
[1] twitter.com
[1] house.gov

Top Domains in Tweet in G3:
[2] weforum.org

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

Top Domains in Tweet in G5:
[1] pewtrusts.org

Top Domains in Tweet in G7:
[1] journalism.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[3] corals
[3] automation
[3] futureofwork
[2] msm
[2] rightwingmedia
[2] bothsidesisms
[2] trust
[2] scientists
[2] biometrics
[2] authentication



Top Hashtags in Tweet in G2:
[2] biometrics
[2] authentication
[2] telemedicine
[2] pasteuract
[1] identityproofing
[1] antibioticresistance
[1] amr

Top Hashtags in Tweet in G3:
[2] trust
[2] scientists

Top Hashtags in Tweet in G4:
[2] msm
[2] rightwingmedia
[2] bothsidesisms

Top Hashtags in Tweet in G5:
[3] corals
[1] ocean
[1] oneoceanoneplanet
[1] oceanconservation
[1] deepsea

Top Hashtags in Tweet in G6:
[3] automation
[3] futureofwork
[1] machinelearning
[1] artificialintelligence
[1] chatbots
[1] virtualassistant

Top Hashtags in Tweet in G7:
[1] surveys
[1] digitalmedia
[1] news

Top Words
Top Words in Tweet in Entire Graph:
[14] pew
[4] fear
[4] attacks
[4] expect
[3] media
[3] learn
[3] here's
[3] deep
[3] sea
[3] oasis

Top Words in Tweet in G2:
[6] pew
[2] health
[2] care
[2] learn
[2] global
[2] use
[2] #biometrics
[2] #authentication
[2] #telemedicine
[2] here's

Top Words in Tweet in G3:
[2] mikequindazzi
[2] antgrasso
[2] fisher85m
[2] citizens
[2] countries
[2] #trust
[2] #scientists
[2] pew
[2] wef

Top Words in Tweet in G4:
[4] fear
[4] attacks
[2] media
[2] whca
[2] #msm
[2] 57
[2] #rightwingmedia
[2] echo
[2] chamber
[2] 40

Top Words in Tweet in G5:
[3] deep
[3] sea
[3] oasis
[3] #corals
[3] sponges
[3] vents
[3] become
[3] canada
[3] largest
[3] marine

Top Words in Tweet in G6:
[4] expect
[3] cognitive
[3] dissonance
[3] #automation
[3] driven
[3] #futureofwork
[3] much
[3] human
[3] work
[3] automated

Top Words in Tweet in G7:
[2] survey

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[3] deep,sea
[3] sea,oasis
[3] oasis,#corals
[3] #corals,sponges
[3] sponges,vents
[3] vents,become
[3] become,canada
[3] canada,largest
[3] largest,marine
[3] marine,protected

Top Word Pairs in Tweet in G2:
[2] health,care
[2] care,learn
[2] learn,global
[2] global,use
[2] use,#biometrics
[2] #biometrics,pew
[2] pew,#authentication
[2] #authentication,#telemedicine
[2] here's,pew
[2] pew,support

Top Word Pairs in Tweet in G3:
[2] mikequindazzi,antgrasso
[2] antgrasso,fisher85m
[2] fisher85m,citizens
[2] citizens,countries
[2] countries,#trust
[2] #trust,#scientists
[2] #scientists,pew

Top Word Pairs in Tweet in G4:
[2] media,whca
[2] whca,#msm
[2] #msm,57
[2] 57,fear
[2] fear,attacks
[2] attacks,#rightwingmedia
[2] #rightwingmedia,echo
[2] echo,chamber
[2] chamber,40
[2] 40,ctrl

Top Word Pairs in Tweet in G5:
[3] deep,sea
[3] sea,oasis
[3] oasis,#corals
[3] #corals,sponges
[3] sponges,vents
[3] vents,become
[3] become,canada
[3] canada,largest
[3] largest,marine
[3] marine,protected

Top Word Pairs in Tweet in G6:
[3] cognitive,dissonance
[3] dissonance,#automation
[3] #automation,driven
[3] driven,#futureofwork
[3] #futureofwork,expect
[3] expect,much
[3] much,human
[3] human,work
[3] work,automated
[3] automated,50

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@pew
@whca
@realdonaldtrump
@mikequindazzi
@antgrasso
@fisher85m
@wef
@repferguson
@oceanunite
@bigbetanalytics

Top Mentioned in G1:
@priyankachopra
@moui
@shagorroy20
@amiediatsobuj
@shykhseraj
@pew
@priyankac19
@priyaanand
@shaukat92715754
@billgates

Top Mentioned in G2:
@pew
@repferguson
@dean_nicolls
@usrepmikedoyle

Top Mentioned in G3:
@mikequindazzi
@antgrasso
@fisher85m
@pew
@wef

Top Mentioned in G4:
@whca
@realdonaldtrump
@pew

Top Mentioned in G5:
@oceanunite
@pew

Top Mentioned in G6:
@bigbetanalytics
@pew

Top Mentioned in G7:
@digital
@news

Top Tweeters
Top Tweeters in Entire Graph:
@moui
@fran_neena20409
@all435reps
@wef
@gdprai
@davilacolon
@realdonaldtrump
@mikequindazzi
@erikmouthaanrtl
@antgrasso

Top Tweeters in G1:
@moui
@priyankac19
@priyankachopra
@priyaanand
@billgates
@amiediatsobuj
@shykhseraj
@iooxsystem
@shaukat92715754
@shuvode95114106

Top Tweeters in G2:
@all435reps
@davilacolon
@erikmouthaanrtl
@dean_nicolls
@atomantpr
@chirayuvaidya3
@cornelisrob
@pew
@usrepmikedoyle
@repferguson

Top Tweeters in G3:
@wef
@mikequindazzi
@antgrasso
@fisher85m
@newtechtwin
@cyberdigitaltec

Top Tweeters in G4:
@fran_neena20409
@realdonaldtrump
@eugenegu
@whca

Top Tweeters in G5:
@reeflife911
@oceanunite
@talesofamergin

Top Tweeters in G6:
@gdprai
@pyscalellc
@bigbetanalytics

Top Tweeters in G7:
@news
@robin_cohn
@digital