The graph represents a network of 4,411 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, 13 February 2020 at 15:09 UTC.
The requested start date was Wednesday, 12 February 2020 at 01:01 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 5-day, 7-hour, 53-minute period from Thursday, 06 February 2020 at 17:00 UTC to Wednesday, 12 February 2020 at 00:54 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 : 4411
Unique Edges : 4988
Edges With Duplicates : 1374
Total Edges : 6362
Number of Edge Types : 4
MentionsInRetweet : 4076
Replies to : 316
Mentions : 784
Tweet : 1186
Self-Loops : 1186
Reciprocated Vertex Pair Ratio : 0.00645438898450947
Reciprocated Edge Ratio : 0.0128259940145361
Connected Components : 689
Single-Vertex Connected Components : 386
Maximum Vertices in a Connected Component : 2729
Maximum Edges in a Connected Component : 4203
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.643444
Graph Density : 0.000240483104751006
Modularity : 0.737386
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,411 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, 13 February 2020 at 15:09 UTC.
The requested start date was Wednesday, 12 February 2020 at 01:01 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 5-day, 7-hour, 53-minute period from Thursday, 06 February 2020 at 17:00 UTC to Wednesday, 12 February 2020 at 00:54 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:
[233] death,rate [230] breaking,#trump [230] #trump,calls [230] calls,investigation [230] investigation,#coronavirus [230] #coronavirus,origin [230] origin,#china [230] #china,#confirms [230] #confirms,15 [230] 15,death Top Word Pairs in Tweet in G1:
[52] #who,#cdc [50] #cdc,#cdc7words [50] #cdc7words,#bannedwords [50] #bannedwords,#orwell [50] #orwell,#doubleplusgoodspeak [50] #doubleplusgoodspeak,#maga [50] #maga,#trumphasdementia [33] #cdc,#who [33] #coronavirus,#2019ncov [33] #2019ncov,#who Top Word Pairs in Tweet in G2:
[122] #wuflu,#wuhanpneumonia [120] #wuhanpneumonia,#wuhanlockdown [111] #wuhanlockdown,#wuhancoronavirus [110] #wuhancoronavirus,#coronaoutbreak [95] #coronaoutbreak,#coronavirus [88] #china,#cdc [87] #coronavirus,#wuhanflu [83] #wuhanflu,#china [70] #cdc,lookner [38] delacruztine,#wuflu Top Word Pairs in Tweet in G3:
[206] breaking,#trump [206] #trump,calls [206] calls,investigation [206] investigation,#coronavirus [206] #coronavirus,origin [206] origin,#china [206] #china,#confirms [206] #confirms,15 [206] 15,death [206] death,rate Top Word Pairs in Tweet in G4:
[169] official,numbers [168] cdc,official [168] official,answering [168] answering,question [168] question,whether [168] whether,official [168] numbers,accurate [168] accurate,press [168] press,conference [167] corona_beerus,cdc Top Word Pairs in Tweet in G5:
[104] #video,medics [104] medics,#wuhan [104] #wuhan,china [104] china,hauling [104] hauling,body [104] body,body [104] body,coronavirus [104] coronavirus,death [104] death,toll [104] toll,rises Top Word Pairs in Tweet in G6:
[168] nightmare,#chicoms [168] #chicoms,100 [168] 100,blame [168] blame,badly [168] badly,spread [168] spread,take [168] take,proper [167] calitrumplady,nightmare [167] proper,precautions [11] zeusfanhouse,breaking Top Word Pairs in Tweet in G7:
[157] #cdc,officers [99] another,forced [99] forced,isolation [99] isolation,infected [99] infected,#coronavirus [99] #coronavirus,patient [99] patient,patient [99] patient,rebuked [99] rebuked,sharply [99] sharply,#cdc Top Word Pairs in Tweet in G8:
[92] #didyouknow,50 [92] 50,granted [92] granted,#vaccine [92] #vaccine,patents [92] patents,#cdc [92] #cdc,listed [92] listed,assignee [91] assignee,huge [87] lotusoak2,#didyouknow [54] lotusoak2,dr Top Word Pairs in Tweet in G9:
[143] watch,#stevebannon [143] #stevebannon,#china [143] #china,biblical [143] biblical,scale [143] scale,re [143] re,#coronavirus [143] #coronavirus,biological [143] biological,chernobyl [142] ladyredwave,watch [142] chernobyl,trump Top Word Pairs in Tweet in G10:
[126] usf,professor [126] professor,fairly [126] fairly,easy [126] easy,fix [126] fix,control [126] control,spread [126] spread,coronavirus [126] coronavirus,information [126] information,seem [125] wvufanagent99,usf 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 G7:
Top Replied-To in G8:
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: