The graph represents a network of 7,850 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, 03 November 2021 at 09:49 UTC.
The requested start date was Wednesday, 03 November 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 8-day, 4-hour, 12-minute period from Monday, 25 October 2021 at 19:46 UTC to Tuesday, 02 November 2021 at 23:58 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 : 7850
Unique Edges : 5786
Edges With Duplicates : 9019
Total Edges : 14805
Number of Edge Types : 5
Tweet : 2508
Retweet : 3473
MentionsInRetweet : 4079
Mentions : 3435
Replies to : 1310
Self-Loops : 2601
Reciprocated Vertex Pair Ratio : 0.0105289546252194
Reciprocated Edge Ratio : 0.0208385016125031
Connected Components : 1420
Single-Vertex Connected Components : 924
Maximum Vertices in a Connected Component : 3955
Maximum Edges in a Connected Component : 7310
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.699745
Graph Density : 0.000130845505086858
Modularity : 0.533959
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,850 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, 03 November 2021 at 09:49 UTC.
The requested start date was Wednesday, 03 November 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 8-day, 4-hour, 12-minute period from Monday, 25 October 2021 at 19:46 UTC to Tuesday, 02 November 2021 at 23:58 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:
[853] #cryptodogsclub,#cdc [726] #nfts,#bsc [716] #bsc,#airdrop [708] #cryptocurrency,#cdc [703] #nftdrop,#cryptodogsclub [699] #airdrop,#cryptocurrency [695] #nftgiveaway,#nftdrop [566] united,states [563] traveling,united [560] starting,nov Top Word Pairs in Tweet in G1:
[486] #cryptodogsclub,#cdc [394] #nftgiveaway,#nftdrop [394] #nftdrop,#cryptodogsclub [109] #coronavirus,#covid19 [106] #landlord,#landlords [106] #landlords,#apartmentliving [106] #apartmentliving,#reviewyourlandlordsafestan [106] #reviewyourlandlordsafestan,#coronavirus [106] #covid19,#rentrelief [95] #rentrelief,#evictionmoratorium Top Word Pairs in Tweet in G2:
[546] united,states [545] starting,nov [545] passengers,traveling [545] traveling,united [545] states,air [529] traveling,internationally [529] internationally,starting [529] nov,requirements [529] requirements,passengers [529] air,change Top Word Pairs in Tweet in G3:
[329] #cryptodogsclub,#cdc [279] #nftdrop,#cryptodogsclub [273] #nftgiveaway,#nftdrop [244] #nfts,#bsc [244] #bsc,#airdrop [239] #airdrop,#cryptocurrency [239] #cryptocurrency,#cdc [122] cryptodogsclub,project [65] good,project [63] project,very Top Word Pairs in Tweet in G4:
[120] #cdc,setting [120] setting,checkpoints [120] checkpoints,punish [120] punish,non [120] non,compliance [119] blaze0497,#cdc [100] prof,alandersh [100] alandersh,#dershowitz [99] 77wabcradio,tonight [99] tonight,starting Top Word Pairs in Tweet in G5:
[295] maxinelai2019,#cdc [226] #cdc,今天看到兩人開記者會時我忍不住笑粗來 [226] 今天看到兩人開記者會時我忍不住笑粗來,如果哪天羅副要告我 [226] 如果哪天羅副要告我,拜託大家要救我qq [56] #cdc,那段莊副真ㄉ笑得很開心xddd [2] #cdc,洗滌一下心靈 [2] #cdc,拍拍羅副 [2] 拍拍羅副,覺得記者問到第三次後 [2] 覺得記者問到第三次後,羅副有種wtfㄉ感覺 [2] 羅副有種wtfㄉ感覺,還好部長又攬回去自己說了 Top Word Pairs in Tweet in G6:
[99] see,people [99] people,playing [99] playing,semantic [99] semantic,games [99] games,#cdc [99] #cdc,interested [99] interested,pleasing [99] pleasing,big [99] big,pharma [99] pharma,protecting Top Word Pairs in Tweet in G7:
[27] pain,patients [14] #cdc,#dea [13] innocent,pain [13] #opioids,treatment [13] treatment,allows [13] allows,life [13] life,#cdc [13] #cdc,study [13] study,adds [13] adds,growing Top Word Pairs in Tweet in G8:
[8] #fda,#cdc [7] #cdc,#fda [6] الأمراض,والوقاية [6] والوقاية,منها [6] منها,#cdc [6] #cdc,#jfk [4] وافق,مستشارو [4] مستشارو,اللقاحات [4] اللقاحات,في [4] في,مراكز Top Word Pairs in Tweet in G9:
[74] vaccination,contre [74] contre,#covid19 [74] #covid19,tellement [74] tellement,efficace [74] efficace,tellement [74] tellement,géniale [74] géniale,#cdc [74] #cdc,recommande [74] recommande,#4edose [74] #4edose,10 Top Word Pairs in Tweet in G10:
[26] #nfts,#bsc [25] #bsc,#airdrop [25] #airdrop,#cryptocurrency [25] #cryptocurrency,#cdc [7] good,project [5] very,happy [5] great,project [4] best,wishes [4] best,project [4] project,very Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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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:
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Top Mentioned in G6:
Top Mentioned in G7:
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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: