NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

lrainie_2020-03-20_12-12-01.xlsx (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
NodeXLExcelAutomator
Uploaded on:
March 20, 2020
Short Description:
lrainie via NodeXL https://bit.ly/3a4hvYO
@lrainie
@bpagliaro
@mcewanincomm
@pewresearch
@dokeefe
@zoovu
@brianbesss
@cacpgt
@pewinternet
@gijn

Top hashtags:
#ddj
#coronavirus
#digitaldivide
#electionnewspathways
#workfromhome
#onlinelearning
#digital
#article

Description:
Description
The graph represents a network of 119 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 Friday, 20 March 2020 at 19:12 UTC.

The requested start date was Friday, 20 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 12-day, 22-hour, 4-minute period from Friday, 06 March 2020 at 14:49 UTC to Thursday, 19 March 2020 at 12:53 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 : 119
Unique Edges : 182
Edges With Duplicates : 92
Total Edges : 274
Number of Edge Types : 4
MentionsInRetweet : 158
Mentions : 82
Tweet : 21
Replies to : 13
Self-Loops : 21
Reciprocated Vertex Pair Ratio : 0.0710382513661202
Reciprocated Edge Ratio : 0.13265306122449
Connected Components : 11
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 108
Maximum Edges in a Connected Component : 263
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.369102
Graph Density : 0.0139581256231306
Modularity : 0.372269
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 119 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 Friday, 20 March 2020 at 19:12 UTC.

The requested start date was Friday, 20 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 12-day, 22-hour, 4-minute period from Friday, 06 March 2020 at 14:49 UTC to Thursday, 19 March 2020 at 12:53 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:
[4] https://www.people-press.org/2019/07/22/trust-and-distrust-in-america/
[4] https://twitter.com/lrainie/status/1239645712209641481
[4] https://www.pewresearch.org/?post_type=fact-tank&p=360151
[3] https://twitter.com/lrainie/status/1237782914001244167
[2] https://gijn.org/2020/03/12/data-journalism-top-10-covid-19-data-viz-brazil-presidents-tweets-beach-erosion-indias-influencers-london-by-bike-syllabi/
[2] https://www.pewresearch.org/science/2019/08/02/trust-and-mistrust-in-americans-views-of-scientific-experts/?utm_content=buffer2b454&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[2] https://www.pewresearch.org/?post_type=fact-tank&p=359885
[2] https://www.pewresearch.org/fact-tank/2019/08/09/democrats-and-republicans-role-scientists-policy-debates/
[2] https://www.pewresearch.org/fact-tank/2020/03/12/as-coronavirus-spreads-which-u-s-workers-have-paid-sick-leave-and-which-dont/
[1] https://pewrsr.ch/39Ovlyw

Top URLs in Tweet in G1:
[3] https://www.people-press.org/2019/07/22/trust-and-distrust-in-america/
[2] https://www.pewresearch.org/?post_type=fact-tank&p=359885
[2] https://www.pewresearch.org/?post_type=fact-tank&p=360151
[2] https://www.pewresearch.org/science/2019/08/02/trust-and-mistrust-in-americans-views-of-scientific-experts/?utm_content=buffer2b454&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://www.pewresearch.org/fact-tank/2020/03/12/as-coronavirus-spreads-which-u-s-workers-have-paid-sick-leave-and-which-dont/
[1] https://www.pewresearch.org/fact-tank/2019/08/09/democrats-and-republicans-role-scientists-policy-debates/
[1] https://www.pewresearch.org/?post_type=fact-tank&p=359609
[1] https://www.pewresearch.org/?post_type=fact-tank&p=359679
[1] https://www.pewresearch.org/pathways-2020/
[1] https://www.journalism.org/datasets/

Top URLs in Tweet in G2:
[2] https://gijn.org/2020/03/12/data-journalism-top-10-covid-19-data-viz-brazil-presidents-tweets-beach-erosion-indias-influencers-london-by-bike-syllabi/
[1] https://pewrsr.ch/2vePEpC
[1] http://www.pewinternet.org/2018/05/31/teens-social-media-technology-2018/
[1] https://www.people-press.org/2018/08/09/an-examination-of-the-2016-electorate-based-on-validated-voters/
[1] https://pewrsr.ch/2TWMVcC
[1] https://pewrsr.ch/2U78He3
[1] https://pewrsr.ch/2VMCOd9
[1] https://pewrsr.ch/2NAUqnq
[1] https://www.people-press.org/2019/07/22/trust-and-distrust-in-america/
[1] https://www.pewresearch.org/topics/trust-facts-and-democracy/

Top URLs in Tweet in G4:
[4] https://twitter.com/lrainie/status/1239645712209641481
[3] https://twitter.com/lrainie/status/1237782914001244167
[1] https://twitter.com/lrainie/status/1235585263625256961
[1] https://twitter.com/lrainie/status/1237781442589069313

Top URLs in Tweet in G6:
[1] https://www.pewresearch.org/?post_type=fact-tank&p=360151

Top URLs in Tweet in G7:
[1] https://www.pewforum.org/2019/10/17/in-u-s-decline-of-christianity-continues-at-rapid-pace/

Top URLs in Tweet in G8:
[1] https://pewrsr.ch/2xC3rHJ?utm_content=121345733&utm_medium=social&utm_source=twitter&hss_channel=tw-39749802

Top URLs in Tweet in G10:
[1] https://twitter.com/lrainie/status/1235993188986470405

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[3] ddj
[2] coronavirus
[2] digitaldivide
[1] electionnewspathways
[1] workfromhome
[1] onlinelearning
[1] digital
[1] article
[1] covid19
[1] closetheschools



Top Hashtags in Tweet in G1:
[1] ddj
[1] electionnewspathways

Top Hashtags in Tweet in G2:
[2] ddj
[1] coronavirus
[1] digitaldivide
[1] closetheschools
[1] stockinvestor
[1] investor

Top Hashtags in Tweet in G4:
[1] uicdigital
[1] internet
[1] didatticaadistanza
[1] covid19
[1] coronavirus
[1] digitaldivide
[1] workfromhome
[1] onlinelearning

Top Hashtags in Tweet in G8:
[1] digital
[1] article

Top Words
Top Words in Tweet in Entire Graph:
[95] Words in Sentiment List#1: Positive
[33] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: Angry/Violent
[3558] Non-categorized Words
[3686] Total Words
[92] lrainie
[57] data
[55] homework
[54] schools
[51] pewresearch

Top Words in Tweet in G1:
[40] lrainie
[36] data
[31] schools
[31] homework
[30] face
[30] roundup
[30] digital
[29] close
[29] due
[29] coronavirus

Top Words in Tweet in G2:
[45] lrainie
[35] pewresearch
[27] online
[24] pewinternet
[21] schools
[21] homework
[19] data
[17] classes
[17] questions
[17] gaps

Top Words in Tweet in G4:
[3] group

Top Words in Tweet in G6:
[2] schools
[2] close
[2] due
[2] coronavirus
[2] students
[2] face
[2] digital
[2] homework
[2] gap
[2] roundup

Top Words in Tweet in G8:
[2] 96
[2] adults
[2] rely
[2] digital
[2] resources
[2] making
[2] life
[2] decision
[2] brands
[2] retailers

Top Words in Tweet in G9:
[2] lrainie
[2] pewresearch

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[47] lrainie,schools
[35] digital,homework
[35] homework,gap
[34] schools,close
[34] close,due
[34] due,coronavirus
[34] coronavirus,students
[34] students,face
[34] face,digital
[34] gap,roundup

Top Word Pairs in Tweet in G1:
[29] schools,close
[29] close,due
[29] due,coronavirus
[29] coronavirus,students
[29] students,face
[29] face,digital
[29] digital,homework
[29] homework,gap
[29] gap,roundup
[29] roundup,data

Top Word Pairs in Tweet in G2:
[22] pewresearch,pewinternet
[19] lrainie,schools
[17] online,classes
[16] schools,switch
[16] switch,online
[16] classes,renews
[16] renews,questions
[16] questions,homework
[16] homework,gaps
[16] gaps,pewresearch

Top Word Pairs in Tweet in G6:
[2] schools,close
[2] close,due
[2] due,coronavirus
[2] coronavirus,students
[2] students,face
[2] face,digital
[2] digital,homework
[2] homework,gap
[2] gap,roundup
[2] roundup,data

Top Word Pairs in Tweet in G8:
[2] 96,adults
[2] adults,rely
[2] rely,digital
[2] digital,resources
[2] resources,making
[2] making,life
[2] life,decision
[2] decision,brands
[2] brands,retailers
[2] retailers,meet

Top Word Pairs in Tweet in G9:
[2] lrainie,pewresearch

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@lrainie
@pewresearch
@pewinternet
@facttank
@monicaranders
@emily_vogels
@johngramlich
@pewmethods
@brookeauxier

Top Mentioned in G1:
@lrainie
@pewresearch
@facttank
@pewinternet
@monicaranders
@johngramlich
@alec_h_tyson
@pew
@pewmethods

Top Mentioned in G2:
@lrainie
@pewresearch
@pewinternet
@facttank
@monicaranders
@emily_vogels
@gijn
@brookeauxier
@pewmethods

Top Mentioned in G3:
@jessicalessin
@stephenfhayes
@rasmus_kleis
@wblau
@diegopia
@serenasaitto
@lrainie
@maxversace
@davewiner
@chrislehane

Top Mentioned in G5:
@jchild1
@hermida
@petterbb
@zittrain
@lrainie
@macmuses

Top Mentioned in G6:
@cacpgt
@pewinternet
@lrainie

Top Mentioned in G7:
@nuzzel
@lrainie

Top Mentioned in G8:
@zoovu
@lrainie

Top Mentioned in G9:
@pewresearch
@mattyglesias

Top Mentioned in G10:
@hkb73

Top Tweeters
Top Tweeters in Entire Graph:
@kaygirl8lawana
@dropoutnation
@davewiner
@donalikihot
@vulgareconomics
@hkb73
@vpaige
@deandre_nickens
@twitaco
@c_wjack

Top Tweeters in G1:
@dropoutnation
@vulgareconomics
@twitaco
@c_wjack
@jorgealfredo1
@everydayetiquet
@ellengoddard1
@mingz22
@pennbat
@pgehred

Top Tweeters in G2:
@donalikihot
@vpaige
@deandre_nickens
@pewresearch
@skiermdd
@mbarakso
@yeahitslex
@kathykastner
@danahull
@facttank

Top Tweeters in G3:
@davewiner
@maxversace
@rasmus_kleis
@wblau
@stephenfhayes
@blathnaidhealy
@evaschulz
@bbcnuala
@jessicalessin
@rkapkap

Top Tweeters in G4:
@journtoolbox
@jassaskott
@comprof1
@giubecc
@abronsgrandson
@andy_capone
@marthafuentes
@librarianbrandy
@alan_fiszman

Top Tweeters in G5:
@hermida
@petterbb
@zittrain
@mcewanincomm
@brendaberkelaar
@macmuses
@jchild1

Top Tweeters in G6:
@cacpgt
@candyassliberal

Top Tweeters in G7:
@dokeefe
@nuzzel

Top Tweeters in G8:
@ddonlan
@zoovu

Top Tweeters in G9:
@brianbesss
@mattyglesias

Top Tweeters in G10:
@kaygirl8lawana
@hkb73


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.