The graph represents a network of 4,593 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, 08 July 2020 at 09:44 UTC.
The requested start date was Wednesday, 08 July 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, 0-hour, 37-minute period from Monday, 06 July 2020 at 23:22 UTC to Wednesday, 08 July 2020 at 00:00 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 : 4593
Unique Edges : 1248
Edges With Duplicates : 9186
Total Edges : 10434
Number of Edge Types : 5
Retweet : 4482
MentionsInRetweet : 5107
Replies to : 118
Tweet : 399
Mentions : 328
Self-Loops : 425
Reciprocated Vertex Pair Ratio : 0.00294985250737463
Reciprocated Edge Ratio : 0.00588235294117647
Connected Components : 292
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 3860
Maximum Edges in a Connected Component : 9218
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.697731
Graph Density : 0.000241808660505192
Modularity : 0.435118
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 4,593 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, 08 July 2020 at 09:44 UTC.
The requested start date was Wednesday, 08 July 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, 0-hour, 37-minute period from Monday, 06 July 2020 at 23:22 UTC to Wednesday, 08 July 2020 at 00:00 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:
[1967] retweet,believe [1967] believe,#cdc [1967] #cdc,total [1967] total,leftwing [1967] leftwing,scam [1967] scam,operation [1966] mitchellvii,retweet [604] never,happen [603] evil,#coronavirus [603] #coronavirus,rules Top Word Pairs in Tweet in G1:
[1927] retweet,believe [1927] believe,#cdc [1927] #cdc,total [1927] total,leftwing [1927] leftwing,scam [1927] scam,operation [1926] mitchellvii,retweet Top Word Pairs in Tweet in G2:
[534] evil,#coronavirus [534] #coronavirus,rules [534] rules,force [534] force,americans [534] americans,die [534] die,alone [534] alone,never [534] never,happen [534] happen,again [534] again,#elizabethreiter Top Word Pairs in Tweet in G3:
[247] people,understand [247] understand,false [247] false,positives [247] positives,fact [247] fact,common [247] common,cold [247] cold,coronavirus [247] coronavirus,people [247] people,colds [247] colds,test Top Word Pairs in Tweet in G4:
[231] gbroh10,gatewaypundit [231] gatewaypundit,#cdc [231] #cdc,#lamestreammedia [231] #lamestreammedia,#faucifraud [231] #faucifraud,part [231] part,huge [231] huge,totally [231] totally,corrupt [231] corrupt,family [230] sundncefn,gbroh10 Top Word Pairs in Tweet in G5:
[12] #who,#cdc [7] according,#cdc [7] realdonaldtrump,#qsentme [7] #qsentme,#god [7] #god,tell [7] tell,#truth [7] #truth,sir [7] sir,#lamestreammedia [7] #lamestreammedia,#fakenewsmedia [7] #fakenewsmedia,reporting Top Word Pairs in Tweet in G6:
[19] covid,19 [19] oh,mao [19] mao,god [19] god,#omg [19] #omg,#omaogod [19] #omaogod,#cdc [19] #cdc,#commidescochons [18] #commidescochons,#ge2020 [18] #ge2020,#sgelections [18] #sgelections,#sgelections2020 Top Word Pairs in Tweet in G7:
[50] #noalbozal,farsa [50] farsa,globalista [50] globalista,podría [50] podría,evidente [50] evidente,#cdc [50] #cdc,dice [50] dice,debido [50] debido,mascarillas [50] mascarillas,n95 [50] n95,están Top Word Pairs in Tweet in G8:
[36] heard,hand [36] hand,washing [36] washing,#covid19 [36] #covid19,#cdc [36] #cdc,#covididiots [36] #covididiots,#coronavirus [36] #coronavirus,#mondaymotivation [36] #mondaymotivation,#thegreatawakening [35] freedomforcer,heard [23] #thegreatawakening,#wwg1wga Top Word Pairs in Tweet in G9:
[4] death,rate [4] #masksoffamerica,harming [4] harming,people's [4] people's,health [4] health,name [4] name,health [4] health,#mandatorymasks [4] #mandatorymasks,warm [4] warm,mandatory [3] govabbott,danpatrick Top Word Pairs in Tweet in G10:
[25] tяump,lie [25] lie,#covid19 [25] #covid19,tragic [25] tragic,response [25] response,call [25] call,hoax [25] hoax,wish [25] wish,didn [25] didn,exist [25] exist,smear Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: