The graph represents a network of 4,690 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 Thursday, 21 May 2020 at 09:31 UTC.
The requested start date was Wednesday, 20 May 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 3-day, 9-hour, 11-minute period from Saturday, 16 May 2020 at 14:48 UTC to Tuesday, 19 May 2020 at 23:59 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 : 4690
Unique Edges : 3059
Edges With Duplicates : 6841
Total Edges : 9900
Number of Edge Types : 5
Tweet : 1849
Retweet : 2642
MentionsInRetweet : 3548
Mentions : 1460
Replies to : 401
Self-Loops : 2013
Reciprocated Vertex Pair Ratio : 0.0103419164204306
Reciprocated Edge Ratio : 0.0204721119699185
Connected Components : 1029
Single-Vertex Connected Components : 640
Maximum Vertices in a Connected Component : 2538
Maximum Edges in a Connected Component : 6591
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.709311
Graph Density : 0.000217675901636139
Modularity : 0.499959
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,690 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 Thursday, 21 May 2020 at 09:31 UTC.
The requested start date was Wednesday, 20 May 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 3-day, 9-hour, 11-minute period from Saturday, 16 May 2020 at 14:48 UTC to Tuesday, 19 May 2020 at 23:59 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 G2:
[99] #firefauci,#cdc [81] madisonsedona,realdonaldtrump [78] realdonaldtrump,young [75] young,adult [70] adult,8x [70] 8x,more [70] more,die [56] die,drowning [48] drowning,covid [32] covid,similar Top Word Pairs in Tweet in G3:
[249] lotusoak2,#cdc [247] #didyouknow,50 [165] 50,granted [165] granted,#vaccine [165] #vaccine,patents [165] patents,#cdc [165] #cdc,listed [165] listed,assignee [165] assignee,huge [164] lotusoak2,#didyouknow Top Word Pairs in Tweet in G4:
[91] check,#cdc [84] enough,fake [84] fake,news [84] news,let's [84] let's,check [84] #cdc,verified [84] verified,numbers [84] numbers,15 [84] 15,cdcgov [83] cdcgov,recorded Top Word Pairs in Tweet in G5:
[33] #who,#cdc [31] #cdc,#nih [31] #covid19,#coronavirus [31] #coronavirus,#vaccines [31] #vaccines,#billgates [31] #billgates,#who [31] #nih,#lockdown [31] #lockdown,#thetruthaboutvaccines [31] potus,#trump [31] #trump,cured Top Word Pairs in Tweet in G6:
[40] #chronicpain,pts [38] misinterpreted,misapplied [37] #chronicpain,#questionoftheweek [35] #questionoftheweek,#stigma [35] #stigma,exists [35] exists,ignorance [35] ignorance,fear [28] fear,andrewkolodny [19] andrewkolodny,mighty [19] mighty,blocker Top Word Pairs in Tweet in G7:
[7] don,think [6] think,give [5] give,#who [5] #who,another [5] another,dime [5] dime,gates [5] gates,fund [5] fund,clean [5] clean,house [5] house,#cdc Top Word Pairs in Tweet in G8:
[59] #cdc,lying [59] lying,#opioid [59] #opioid,death [59] death,numbers [59] numbers,believed [59] havasubum1my,#cdc [59] opioid,guidelines [59] #cdc,opioid [59] guidelines,total [59] total,#nonsense Top Word Pairs in Tweet in G9:
[9] #cdc,#criminaldiseasecabal [8] friendly,reminder [8] reminder,#hydrochloroquine [8] #hydrochloroquine,#chloroquine [8] #chloroquine,#hcq [7] #hcq,#theyalreadyknewitworked [7] #theyalreadyknewitworked,#cdc [6] #criminaldiseasecabal,#pharmafauci [6] colforbin3,friendly [6] 45harisonharold,bbl58 Top Word Pairs in Tweet in G10:
[14] take,children [13] children,away [13] away,parents [13] howleyreporter,looks [13] looks,way [13] way,cps [13] cps,take [13] parents,especially [12] especially,ones [3] ones,aren 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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