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lrainie_2020-12-16_19-42-12.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
December 17, 2020
Short Description:
lrainie via NodeXL https://bit.ly/3ms39Hh
@lrainie
@danbuk4
@wetcoastdaily
@facttank
@mhugolopez
@s_df
@pewresearch
@colleenamcclain
@emily_vogels
@gdhpearson

Top hashtags:
#covid19
#cdnpoli
#socialmedia
#libraries
#cildc
#internetlibrarian
#remotework
#usa

Description:
Description
The graph represents a network of 148 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 December 2020 at 03:42 UTC.

The requested start date was Thursday, 17 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 11-day, 6-hour, 18-minute period from Friday, 04 December 2020 at 13:01 UTC to Tuesday, 15 December 2020 at 19:19 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 : 148
Unique Edges : 130
Edges With Duplicates : 258
Total Edges : 388
Number of Edge Types : 5
Retweet : 108
MentionsInRetweet : 155
Mentions : 84
Tweet : 33
Replies to : 8
Self-Loops : 33
Reciprocated Vertex Pair Ratio : 0.0355329949238579
Reciprocated Edge Ratio : 0.0686274509803922
Connected Components : 18
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 123
Maximum Edges in a Connected Component : 360
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.290229
Graph Density : 0.00937672366243795
Modularity : 0.341171
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 148 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 December 2020 at 03:42 UTC.

The requested start date was Thursday, 17 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 11-day, 6-hour, 18-minute period from Friday, 04 December 2020 at 13:01 UTC to Tuesday, 15 December 2020 at 19:19 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 : lrainie
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:
[7] https://www.pewresearch.org/science/2020/12/03/intent-to-get-a-covid-19-vaccine-rises-to-60-as-confidence-in-research-and-development-process-increases/
[7] https://twitter.com/lrainie/status/1334849318822481928
[5] https://twitter.com/lrainie/status/1337046976458858496
[5] https://www.pewsocialtrends.org/2020/12/09/how-the-coronavirus-outbreak-has-and-hasnt-changed-the-way-americans-work/
[4] https://www.pewresearch.org/fact-tank/2020/12/03/social-trust-in-advanced-economies-is-lower-among-young-people-and-those-with-less-education/
[3] https://www.pewresearch.org/fact-tank/2020/12/11/social-media-continue-to-be-important-political-outlets-for-black-americans/
[3] https://twitter.com/lrainie/status/1337041814734462976
[2] https://www.pewresearch.org/fact-tank/2020/12/15/around-the-world-people-who-trust-others-are-more-supportive-of-international-cooperation/
[2] https://www.journalism.org/2020/12/08/measuring-news-consumption-in-a-digital-era/
[2] https://www.pewresearch.org/fact-tank/2020/12/14/most-americans-dont-answer-cellphone-calls-from-unknown-numbers/

Top URLs in Tweet in G1:
[5] https://www.pewsocialtrends.org/2020/12/09/how-the-coronavirus-outbreak-has-and-hasnt-changed-the-way-americans-work/
[5] https://www.pewresearch.org/science/2020/12/03/intent-to-get-a-covid-19-vaccine-rises-to-60-as-confidence-in-research-and-development-process-increases/
[3] https://www.pewresearch.org/fact-tank/2020/12/11/social-media-continue-to-be-important-political-outlets-for-black-americans/
[3] https://www.pewresearch.org/fact-tank/2020/12/03/social-trust-in-advanced-economies-is-lower-among-young-people-and-those-with-less-education/
[2] https://www.pewresearch.org/fact-tank/2020/12/11/bidens-victory-another-example-of-how-electoral-college-wins-are-bigger-than-popular-vote-ones/
[2] https://www.pewresearch.org/fact-tank/2020/12/14/most-americans-dont-answer-cellphone-calls-from-unknown-numbers/
[2] https://www.pewresearch.org/fact-tank/2020/12/15/around-the-world-people-who-trust-others-are-more-supportive-of-international-cooperation/
[2] https://www.journalism.org/2020/12/08/measuring-news-consumption-in-a-digital-era/
[1] https://twitter.com/nxthompson/status/1334590732506722310
[1] https://www.pewresearch.org/politics/2020/12/08/the-changing-geography-of-covid-19-in-the-u-s/

Top URLs in Tweet in G2:
[1] https://www.pewresearch.org/fact-tank/2020/12/03/social-trust-in-advanced-economies-is-lower-among-young-people-and-those-with-less-education/
[1] https://pewrsr.ch/2LiOTUh
[1] https://pewrsr.ch/3gvt27u
[1] https://pewrsr.ch/34epn9t
[1] https://pewrsr.ch/2VTrfzM
[1] https://www.pewresearch.org/fact-tank/2020/12/11/20-striking-findings-from-2020/?utm_content=bufferfcb15&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://twitter.com/lrainie/status/1337769862693793795
[1] https://www.pewresearch.org/fact-tank/2020/11/19/the-trump-era-has-seen-a-decline-in-americas-global-reputation/
[1] https://twitter.com/FactTank/status/1337478265380933633

Top URLs in Tweet in G3:
[1] https://www.youtube.com/watch?v=DJjBSJfRZe0&feature=youtu.be


Top URLs in Tweet in G4:
[4] https://twitter.com/lrainie/status/1334849318822481928
[4] https://twitter.com/lrainie/status/1337046976458858496
[2] https://twitter.com/lrainie/status/1337041814734462976
[1] https://twitter.com/lrainie/status/1337467359708278787
[1] https://twitter.com/lrainie/status/1337466122925469696
[1] https://twitter.com/lrainie/status/1337769862693793795
[1] https://twitter.com/lrainie/status/1338529673752535049

Top URLs in Tweet in G5:
[2] https://www.pewresearch.org/science/2020/12/03/intent-to-get-a-covid-19-vaccine-rises-to-60-as-confidence-in-research-and-development-process-increases/
[1] https://pewrsr.ch/3gIqd3c

Top URLs in Tweet in G6:
[1] https://twitter.com/lrainie/status/1334849318822481928

Top URLs in Tweet in G7:
[1] https://twitter.com/lrainie/status/1334849318822481928

Top URLs in Tweet in G8:
[1] https://www.classifiedadland.com/blog/news-updated-daily/

Top URLs in Tweet in G9:
[1] https://twitter.com/lrainie/status/1337046976458858496

Top URLs in Tweet in G10:
[1] https://twitter.com/lrainie/status/1337041814734462976

Top Domains
Top Domains in Tweet in Entire Graph:
[26] pewresearch.org
[23] twitter.com
[7] pewrsr.ch
[5] pewsocialtrends.org
[3] journalism.org
[1] classifiedadland.com
[1] youtube.com

Top Domains in Tweet in G1:
[21] pewresearch.org
[5] pewsocialtrends.org
[3] twitter.com
[3] journalism.org
[2] pewrsr.ch

Top Domains in Tweet in G2:
[4] pewrsr.ch
[3] pewresearch.org
[2] twitter.com

Top Domains in Tweet in G3:
[1] youtube.com

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

Top Domains in Tweet in G5:
[2] pewresearch.org
[1] pewrsr.ch

Top Domains in Tweet in G6:
[1] twitter.com

Top Domains in Tweet in G7:
[1] twitter.com

Top Domains in Tweet in G8:
[1] classifiedadland.com

Top Domains in Tweet in G9:
[1] twitter.com

Top Domains in Tweet in G10:
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2] covid19
[1] cdnpoli
[1] socialmedia
[1] libraries
[1] cildc
[1] internetlibrarian
[1] remotework
[1] usa



Top Hashtags in Tweet in G1:
[1] socialmedia

Top Hashtags in Tweet in G2:
[1] libraries
[1] cildc
[1] internetlibrarian

Top Hashtags in Tweet in G4:
[1] usa
[1] covid19
[1] remotework

Top Hashtags in Tweet in G8:
[1] covid19
[1] cdnpoli

Top Words
Top Words in Tweet in Entire Graph:
[99] lrainie
[61] covid
[54] 19
[50] adults
[46] know
[46] someone
[45] hospitalized
[44] 54
[44] died
[42] grim

Top Words in Tweet in G1:
[54] lrainie
[49] covid
[44] 19
[43] adults
[39] someone
[38] 54
[38] know
[38] hospitalized
[38] died
[37] grim

Top Words in Tweet in G2:
[38] lrainie
[24] facttank
[21] social
[18] those
[16] people
[16] less
[14] trust
[14] advanced
[14] economies
[14] lower

Top Words in Tweet in G4:
[3] time
[3] work
[3] office
[2] fully
[2] know
[2] see
[2] face
[2] come
[2] home
[2] dealing

Top Words in Tweet in G5:
[4] lrainie
[4] pewscience
[3] adults
[3] know
[3] hospitalized
[3] covid
[3] 19
[3] americans
[3] pewresearch
[3] people

Top Words in Tweet in G7:
[5] deaths
[4] always
[4] trailed
[4] indicators
[4] infections
[4] hospitalizations
[4] during
[4] pandemic
[3] repandylevin
[3] followâ

Top Words in Tweet in G9:
[2] good
[2] pump
[2] more
[2] sammiches
[2] way

Top Words in Tweet in G10:
[2] findings
[2] work

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[54] covid,19
[44] know,someone
[44] someone,hospitalized
[44] hospitalized,died
[43] died,covid
[42] grim,heart
[42] heart,breaking
[42] breaking,reality
[42] reality,worsens
[42] worsens,54

Top Word Pairs in Tweet in G1:
[44] covid,19
[38] know,someone
[38] someone,hospitalized
[38] hospitalized,died
[38] died,covid
[37] grim,heart
[37] heart,breaking
[37] breaking,reality
[37] reality,worsens
[37] worsens,54

Top Word Pairs in Tweet in G2:
[14] social,trust
[14] trust,advanced
[14] advanced,economies
[14] economies,lower
[14] lower,young
[14] young,people
[14] people,those
[14] those,less
[14] less,education
[13] lrainie,social

Top Word Pairs in Tweet in G5:
[3] covid,19
[3] pewresearch,pewscience
[2] lrainie,grim
[2] grim,heart
[2] heart,breaking
[2] breaking,reality
[2] reality,worsens
[2] worsens,54
[2] 54,adults
[2] adults,know

Top Word Pairs in Tweet in G7:
[4] deaths,always
[4] always,trailed
[4] trailed,indicators
[4] indicators,infections
[4] infections,hospitalizations
[4] hospitalizations,during
[4] during,pandemic
[3] repandylevin,deaths
[3] pandemic,followâ

Top Word Pairs in Tweet in G9:
[2] good,pump
[2] pump,more
[2] more,sammiches
[2] sammiches,way

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@lrainie
@facttank
@pewresearch
@apco
@pewre
@pewscience
@pewglobal
@pewinternet
@colleenamcclain
@pewjournalism

Top Mentioned in G1:
@lrainie
@pewresearch
@facttank
@pewre
@pewglobal
@pewjournalism
@pewscience
@brookeauxier
@colleenamcclain
@pewinternet

Top Mentioned in G2:
@lrainie
@facttank
@apco
@pewresearch
@colleenam
@pewinternet
@colleenamcclain
@pewre
@brookeauxier

Top Mentioned in G3:
@ineteconomics
@econsociology
@mschularick
@rjocean
@jwmason1
@pockez
@mazzucatom
@rainerkattel
@lrainie
@johnvanreenen

Top Mentioned in G5:
@pewscience
@lrainie
@pewresearch
@pewhispanic

Top Mentioned in G6:
@briantoddcnn
@ashleycorumcnn
@cnnsitroom
@cnn

Top Mentioned in G7:
@repandylevin

Top Mentioned in G8:
@lrainie
@magsstorellc
@boxnewsuk

Top Mentioned in G9:
@bruceexotic

Top Mentioned in G10:
@dhinchcliffe
@lrainie
@pewresearch

Top Tweeters
Top Tweeters in Entire Graph:
@loupo85
@rachel_mcrea
@ken_crichlow
@cnn
@vivs1man
@azabaro
@mark_e_noonan
@schmoopywoopy
@connorofkane
@6850013

Top Tweeters in G1:
@rachel_mcrea
@vivs1man
@azabaro
@dianaruggontv
@scabbyscribe56
@alisajass
@howubenben
@chasj1948
@arndt_eric
@macostacruz

Top Tweeters in G2:
@loupo85
@ken_crichlow
@6850013
@2ndleprechaun
@fortpapalia
@pewresearch
@ellengoddard1
@zimjay
@facttank
@lsimonetta

Top Tweeters in G3:
@danbuk4
@dgolumbia
@johnchavens
@ubiquity75
@mazzucatom
@johnvanreenen
@erikbryn
@safiyanoble
@jwmason1
@ruha9

Top Tweeters in G4:
@archimags
@zimanaanalytics
@timethief
@tomlavinnh
@nick_forcier
@itlinchpin
@cinty_beth
@notinmycolour
@rj_heinrich
@schustercraig

Top Tweeters in G5:
@leeceldridge
@mhugolopez
@domineelepen
@pewhispanic
@wryancark
@pewscience

Top Tweeters in G6:
@cnn
@vidiot_
@cnnsitroom
@briantoddcnn
@ashleycorumcnn

Top Tweeters in G7:
@schmoopywoopy
@connorofkane
@smokingmirror10
@repandylevin

Top Tweeters in G8:
@boxnewsuk
@wetcoastdaily
@magsstorellc

Top Tweeters in G9:
@mark_e_noonan
@bruceexotic

Top Tweeters in G10:
@dhinchcliffe
@s_df