The graph represents a network of 6,891 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, 06 October 2021 at 09:52 UTC.
The requested start date was Wednesday, 06 October 2021 at 00:01 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 12-day, 3-hour, 49-minute period from Thursday, 23 September 2021 at 20:11 UTC to Wednesday, 06 October 2021 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 : 6891
Unique Edges : 3950
Edges With Duplicates : 9825
Total Edges : 13775
Number of Edge Types : 5
Retweet : 3683
MentionsInRetweet : 4498
Tweet : 2873
Mentions : 2056
Replies to : 665
Self-Loops : 3038
Reciprocated Vertex Pair Ratio : 0.0104283651532168
Reciprocated Edge Ratio : 0.0206414734836456
Connected Components : 1703
Single-Vertex Connected Components : 1046
Maximum Vertices in a Connected Component : 2852
Maximum Edges in a Connected Component : 6869
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.848935
Graph Density : 0.000132648146053654
Modularity : 0.495872
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,891 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, 06 October 2021 at 09:52 UTC.
The requested start date was Wednesday, 06 October 2021 at 00:01 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 12-day, 3-hour, 49-minute period from Thursday, 23 September 2021 at 20:11 UTC to Wednesday, 06 October 2021 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:
[393] covid,19 [384] rochelle,walensky [364] #cdc,director [309] #cdc,#fda [288] prevent,transmission [287] director,rochelle [276] walensky,admits [260] vaccine,prevent [254] transmission,statement [244] admits,vaccine Top Word Pairs in Tweet in G1:
[119] covid,19 [117] #cdc,#cdc7words [117] #cdc7words,#bannedwords [117] #bannedwords,#orwell [117] #orwell,#doubleplusgoodspeak [117] #doubleplusgoodspeak,#maga [117] #maga,#trumphasdementia [59] #cdc,#fda [47] oh,mao [47] mao,god Top Word Pairs in Tweet in G2:
[76] directrice,#cdc [58] covid,19 [56] 02,10 [56] 10,directrice [56] #cdc,#rochellewalensky [56] #rochellewalensky,admet [56] admet,dorénavant [56] dorénavant,#vaccin [56] #vaccin,covid [56] 19,n'empêche Top Word Pairs in Tweet in G3:
[255] rochelle,walensky [227] #cdc,director [227] director,rochelle [226] walensky,admits [226] admits,vaccine [226] vaccine,prevent [226] prevent,transmission [225] transmission,statement [222] lfconaction,#cdc [222] statement,banned Top Word Pairs in Tweet in G4:
[31] #cdc,#fda [10] #vaccinemandate,#cdc [10] #fda,#covid19 [8] #fjb,#fbiden [8] #fbiden,#pfizer [8] #pfizer,#vaccinesideeffects [8] #vaccinesideeffects,#vaccinemandate [8] #covid19,joebiden [8] joebiden,killing [8] killing,americans Top Word Pairs in Tweet in G5:
[31] #cdc,cdcgov [23] ok,#cdc [22] one,rescue [22] rescue,don [22] don,fight [22] fight,cdcgov [22] cdcgov,ban [22] ban,public [22] public,ok [22] #cdc,continues Top Word Pairs in Tweet in G6:
[40] killed,erin [27] intractable,pain [26] #cdc,#dea [19] depended,doctors [19] doctors,willing [19] willing,give [19] give,control [19] control,intractable [19] pain,under [19] under,guidance Top Word Pairs in Tweet in G7:
[201] #coronavirus,#covid19 [200] #landlord,#landlords [200] #landlords,#apartmentliving [200] #apartmentliving,#reviewyourlandlordsafestan [200] #reviewyourlandlordsafestan,#coronavirus [200] #covid19,#rentrelief [149] #rentrelief,#evictionmoratorium [149] #evictionmoratorium,#cdc [32] univision23,eileencardet [31] #alamanecer,univision23 Top Word Pairs in Tweet in G8:
[74] good,health [74] health,pass [74] pass,twitter [74] twitter,account [74] account,first [74] first,follows [74] follows,interest [74] interest,ann [74] ann,cavoukian [74] cavoukian,former Top Word Pairs in Tweet in G9:
[14] inventor,#pcr [14] #pcr,#karymullis [14] #karymullis,disliked [14] disliked,#fauci [14] #fauci,much [14] much,died [13] #cdc,#fda [13] died,august [13] august,2019 [13] 2019,right Top Word Pairs in Tweet in G10:
[7] #fda,#cdc [6] #cdc,director [5] #cdc,advisory [5] advisory,panel [5] #pfizerbiontech,#covidvaccine [5] #covidvaccine,#boostershots [5] high,risk [5] #cdc,counts [5] counts,#unvaccinated [5] #unvaccinated,those 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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