The graph represents a network of 5,289 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 01 April 2020 at 09:23 UTC.
The requested start date was Wednesday, 01 April 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 1-day, 21-hour, 3-minute period from Sunday, 29 March 2020 at 19:29 UTC to Tuesday, 31 March 2020 at 16:32 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
Vertices : 5289
Unique Edges : 6041
Edges With Duplicates : 892
Total Edges : 6933
Number of Edge Types : 4
Replies to : 325
Tweet : 1213
Mentions : 1068
MentionsInRetweet : 4327
Self-Loops : 1213
Reciprocated Vertex Pair Ratio : 0.00515558828944946
Reciprocated Edge Ratio : 0.0102582890639311
Connected Components : 1033
Single-Vertex Connected Components : 630
Maximum Vertices in a Connected Component : 3152
Maximum Edges in a Connected Component : 4563
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.336889
Graph Density : 0.000195185737875744
Modularity : 0.793069
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,289 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 01 April 2020 at 09:23 UTC.
The requested start date was Wednesday, 01 April 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 1-day, 21-hour, 3-minute period from Sunday, 29 March 2020 at 19:29 UTC to Tuesday, 31 March 2020 at 16:32 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 : #CDC
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[613] latest,#cdc [611] sure,#boycotttrumppressconferences [611] #boycotttrumppressconferences,keep [611] keep,mouth [611] mouth,shut [611] shut,know [611] know,latest [610] joetalkshow,sure [610] #cdc,#surgeongene [426] #cdc,funding Top Word Pairs in Tweet in G1:
[64] covid,19 [59] #cdc,#who [47] #coronavirus,#covid19 [40] #covid19,#cdc [32] #coronavirus,#cdc [27] #cdc,#coronavirus [27] #who,#cdc [27] #covid19,#coronavirus [21] #cdc,#covid19 [19] disease,control Top Word Pairs in Tweet in G2:
[592] sure,#boycotttrumppressconferences [592] #boycotttrumppressconferences,keep [592] keep,mouth [592] mouth,shut [592] shut,know [592] know,latest [592] latest,#cdc [591] joetalkshow,sure [591] #cdc,#surgeongene Top Word Pairs in Tweet in G3:
[48] decapolisprchr,deanna4congress [33] shut,down [30] deanna4congress,questions [30] questions,msm [30] msm,lie [30] lie,away [30] away,shut [30] down,#cdc [30] #cdc,allowed [23] realdonaldtrump,cdcgov Top Word Pairs in Tweet in G4:
[358] ve,asked [358] asked,people [358] people,social [358] social,media [358] media,fb [358] fb,covid19 [358] covid19,yes [358] yes,many [358] many,suspected [357] debber66,ve Top Word Pairs in Tweet in G5:
[413] #cdc,funding [299] turns,charles [299] charles,#koch's [299] #koch's,pressure [299] pressure,group [299] group,afphq [299] afphq,led [296] admin,gutting [296] gutting,billion [296] billion,#cdc Top Word Pairs in Tweet in G6:
[119] #who,#cdc [118] great,see [118] see,#who [118] #cdc,re [118] re,evaluating [118] evaluating,recommendations [118] recommendations,light [118] light,emerging [118] emerging,science [118] science,viable Top Word Pairs in Tweet in G7:
[157] #new,pres [157] pres,trump [157] trump,announces [157] announces,extending [157] extending,current [157] current,#cdc [157] #cdc,social [157] social,distancing [157] distancing,guidelines [157] guidelines,april Top Word Pairs in Tweet in G8:
[119] what're,criteria [119] criteria,determining [119] determining,#coronavirus [119] #coronavirus,cause [119] cause,death [119] death,person [119] person,serious [119] serious,pre [119] pre,existing [119] existing,health Top Word Pairs in Tweet in G9:
[60] #trumpgop,dissolved [60] dissolved,#pandemic [60] #pandemic,task [60] task,force [59] chrismurphyct,areyousaddrumft [59] areyousaddrumft,taking [59] taking,office [59] office,#trumpgop [58] isawthesethings,chrismurphyct [58] force,remove Top Word Pairs in Tweet in G10:
[67] another,empty [67] empty,hospital [67] hospital,food [67] food,workers [67] workers,outside [67] outside,know [67] know,more [67] more,#filmyourhospital [67] #filmyourhospital,#newworldorder [67] #newworldorder,#cabal Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: