The graph represents a network of 6,991 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, 14 December 2022 at 11:00 UTC.
The requested start date was Wednesday, 14 December 2022 at 01:01 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 7-day, 13-hour, 11-minute period from Tuesday, 06 December 2022 at 11:45 UTC to Wednesday, 14 December 2022 at 00:56 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 : 6991
Unique Edges : 2167
Edges With Duplicates : 12643
Total Edges : 14810
Number of Edge Types : 5
Retweet : 5752
MentionsInRetweet : 6279
Mentions : 1097
Tweet : 1223
Replies to : 459
Self-Loops : 1307
Reciprocated Vertex Pair Ratio : 0.00712656784492588
Reciprocated Edge Ratio : 0.0141522785168412
Connected Components : 785
Single-Vertex Connected Components : 474
Maximum Vertices in a Connected Component : 5153
Maximum Edges in a Connected Component : 11437
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.923476
Graph Density : 0.000144596291696518
Modularity : 0.463987
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,991 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, 14 December 2022 at 11:00 UTC.
The requested start date was Wednesday, 14 December 2022 at 01:01 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 7-day, 13-hour, 11-minute period from Tuesday, 06 December 2022 at 11:45 UTC to Wednesday, 14 December 2022 at 00:56 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:
[1995] sudden,arrhythmic [1995] arrhythmic,death [1995] death,syndrome [1995] syndrome,#sads [1993] covid,vaccine [1989] confirms,118k [1988] cdc,confirms [1988] 118k,sudden [1988] vaccine,roll [1988] #sads,covid Top Word Pairs in Tweet in G1:
[1891] syndrome,#sads [1891] arrhythmic,death [1891] death,syndrome [1891] sudden,arrhythmic [1884] cdc,confirms [1884] confirms,118k [1884] #sads,covid [1884] covid,vaccine [1884] 118k,sudden [1884] vaccine,roll Top Word Pairs in Tweet in G2:
[984] #cdc,#nih [741] #解雇,#宗教的免責 [741] #強制接種,#解雇 [741] #nih,#fda [741] #宗教的免責,#cdc [740] ロン,ジョンソン議員 [740] 狂った政策,だと [740] ロン,ジョンソン上院議員は表明した [740] コロナワクチンが感染やウイルスの拡散を防げない,誰にでも新型コロナワクチンの接種を強制するのは [740] ジョンソン議員,コロナワクチンが感染やウイルスの拡散を防げない Top Word Pairs in Tweet in G3:
[37] covid,19 [32] ø,ø [31] #fda,#cdc [28] ãƒ,ム[22] #cdc,#fda [21] ø,ù [21] ù,ø [20] denunciation,ccp [20] global,denunciation [20] centers,disease Top Word Pairs in Tweet in G4:
[35] #cdc,#nih [33] 40,years [29] #cdc,#bigpharma [26] years,#cdc [26] many,years [25] denied,research [25] #nih,hadn't [25] years,dismissing [25] research,cfs [25] psychosomatic,women's Top Word Pairs in Tweet in G5:
[265] #fda,#cdc [265] #pfizer,#moderna [264] feel,day [264] #fauciliedmillionsdied,#fda [264] #moderna,#fauciliedmillionsdied [264] day,#diedsuddenly [264] #diedsuddenly,#diedsuddenlydocumentary [264] #diedsuddenlydocumentary,#pfizer [263] amfreedom12,feel [172] #cdc,#bidenwor Top Word Pairs in Tweet in G6:
[217] #cdc,quietly [214] jimmyjoeyam,#cdc [201] removed,#mrna [201] #mrna,spike [201] fact,website [201] injection,fact [201] protein,#covid19 [201] spike,protein [201] quietly,removed [201] #covid19,injection Top Word Pairs in Tweet in G7:
[216] scoppiare,#cdc [216] balla,scoppiare [216] processati,cicli [216] bolla,balla [216] prossima,bolla [216] saranno,prossima [216] #cdc,confermano [216] confermano,sono [216] sono,falsati [216] #tamponi,saranno Top Word Pairs in Tweet in G8:
[15] ibdgirl76,think [15] #dea,#cdc [15] joeallennewman,ibdgirl76 [14] unfortunate,#prop [14] #cdc,emphasize [14] emphasize,message [14] very,unfortunate [14] #prop,#dea [14] think,very [12] pain,patients Top Word Pairs in Tweet in G9:
[108] b4,#vaccinedeaths [108] wanting,forget [108] #vaccinated,#covid [108] #covid,heard [108] trust,b4 [108] forget,#vaccinated [108] heard,trust [107] sn00pdad,wanting [75] #vaccinedeaths,#vaccines [32] #vaccinedeaths,#vaccinesâ Top Word Pairs in Tweet in G10:
[162] #cdc,#who [161] #fauci,#neverforget [161] murdered,#remdesivir [161] loved,ones [161] covid,murdered [161] die,covid [161] #who,#genocide [161] #genocide,#fauci [161] #remdesivir,#cdc [160] ones,didn Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
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 G10: