The graph represents a network of 5,449 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, 02 December 2020 at 10:56 UTC.
The requested start date was Wednesday, 02 December 2020 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, 11-hour, 9-minute period from Tuesday, 24 November 2020 at 13:50 UTC to Wednesday, 02 December 2020 at 01:00 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 : 5449
Unique Edges : 3977
Edges With Duplicates : 9653
Total Edges : 13630
Number of Edge Types : 5
Tweet : 3496
Retweet : 3312
MentionsInRetweet : 4997
Mentions : 1342
Replies to : 483
Self-Loops : 3625
Reciprocated Vertex Pair Ratio : 0.00935374149659864
Reciprocated Edge Ratio : 0.0185341196293176
Connected Components : 1348
Single-Vertex Connected Components : 852
Maximum Vertices in a Connected Component : 2275
Maximum Edges in a Connected Component : 7858
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.409175
Graph Density : 0.000199924867325344
Modularity : 0.454943
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,449 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, 02 December 2020 at 10:56 UTC.
The requested start date was Wednesday, 02 December 2020 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, 11-hour, 9-minute period from Tuesday, 24 November 2020 at 13:50 UTC to Wednesday, 02 December 2020 at 01:00 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:
[1790] read,more [994] more,#cdc [913] #cdc,#coronavirus [902] #coronavirus,#covid19 [763] #covid19,#mers [752] #mers,#outbreak [750] #outbreak,#pandemic [748] #pandemic,#sars [748] #sars,#viraloutbreak [748] #viraloutbreak,#virus Top Word Pairs in Tweet in G1:
[104] covid,19 [98] #coronavirus,#covid19 [78] #rent,#landlord [78] #landlord,#landlords [78] #landlords,#apartmentliving [78] #apartmentliving,#reviewyourlandlordsafestan [78] #reviewyourlandlordsafestan,#coronavirus [78] #covid19,#rentrelief [65] #cdc,#cdc7words [65] #cdc7words,#bannedwords Top Word Pairs in Tweet in G2:
[215] #didyouknow,50 [215] 50,granted [215] granted,#vaccine [215] #vaccine,patents [215] patents,#cdc [215] #cdc,listed [215] listed,assignee [214] assignee,huge [212] lotusoak2,#didyouknow [125] sued,#cdc Top Word Pairs in Tweet in G3:
[437] #gop,leaders [437] leaders,need [437] need,think [437] think,hard [437] hard,before [437] before,attacking [437] attacking,joebiden [437] joebiden,#omb [437] #omb,pick [437] pick,neeratanden Top Word Pairs in Tweet in G4:
[86] despite,absolutely [86] absolutely,ridiculous [86] ridiculous,telling [86] telling,#cdc [86] #cdc,members [86] members,basically [86] basically,cdcgov [86] cdcgov,families [85] redrising11,despite [22] cdcgov,#cdc Top Word Pairs in Tweet in G5:
[27] #covid19,#cdc [25] #cdc,#republicans [25] #republicans,#democrats [25] #democrats,#independent [23] positive,test [23] test,results [23] results,guarantee [23] guarantee,clinical [23] clinical,infections [23] infections,outcome Top Word Pairs in Tweet in G6:
[37] thomas,daniell [29] dublencoigor,cmont4560 [28] happy,thanksgiving [28] thanksgiving,artist [28] artist,alfredo [28] alfredo,rodriguez [28] rodriguez,1954 [28] 1954,ampomata [28] ampomata,dublencoigor [28] cmont4560,yubartina Top Word Pairs in Tweet in G7:
[82] more,obedient [81] obedient,youtube [76] youtube,#gavinnewsome [62] #gavinnewsome,#gavinhuntmustgo [45] #gavinhuntmustgo,#bidencrimefamilly [44] #bidencrimefamilly,#fakenews [44] #fakenews,#fakepandemic [44] #fakepandemic,#fear [44] #fear,#obey [44] #obey,#cdc Top Word Pairs in Tweet in G8:
[113] studio,johns [113] johns,hopkins [113] hopkins,scompare [113] scompare,misteriosamente [113] misteriosamente,dopo [113] dopo,rivelazione [113] rivelazione,#cdc [113] #cdc,delle [113] delle,morti [112] patriziarametta,studio Top Word Pairs in Tweet in G9:
[40] covid,19 [32] reported,covid [32] 19,deaths [32] deaths,'almost [32] 'almost,exactly [32] exactly,equal [32] equal,total [32] total,decrease [32] decrease,deaths [32] deaths,causes Top Word Pairs in Tweet in G10:
[1770] read,more [985] more,#cdc [884] #cdc,#coronavirus [786] #coronavirus,#covid19 [763] #covid19,#mers [750] #mers,#outbreak [747] #outbreak,#pandemic [746] #pandemic,#sars [746] #sars,#viraloutbreak [746] #viraloutbreak,#virus Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: