The graph represents a network of 6,309 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, 16 March 2022 at 09:48 UTC.
The requested start date was Wednesday, 16 March 2022 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 13-day, 6-hour, 12-minute period from Wednesday, 02 March 2022 at 17:37 UTC to Tuesday, 15 March 2022 at 23:49 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 : 6309
Unique Edges : 3828
Edges With Duplicates : 9891
Total Edges : 13719
Number of Edge Types : 5
Retweet : 3890
MentionsInRetweet : 4968
Tweet : 2627
Mentions : 1598
Replies to : 636
Self-Loops : 2752
Reciprocated Vertex Pair Ratio : 0.0143205858421481
Reciprocated Edge Ratio : 0.0282368041071715
Connected Components : 1513
Single-Vertex Connected Components : 912
Maximum Vertices in a Connected Component : 2897
Maximum Edges in a Connected Component : 7667
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 9.05205
Graph Density : 0.000156619168819332
Modularity : 0.486333
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,309 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, 16 March 2022 at 09:48 UTC.
The requested start date was Wednesday, 16 March 2022 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 13-day, 6-hour, 12-minute period from Wednesday, 02 March 2022 at 17:37 UTC to Tuesday, 15 March 2022 at 23:49 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:
[289] #ワクチン,#児童 [289] #児童,#心臓病 [289] #心臓病,#cdc [267] 児童がワクチン接種後に深刻な副作用,#ワクチン [209] #cdc,#fda [187] #coronavirus,#covid19 [186] #landlord,#landlords [186] #landlords,#apartmentliving [186] #apartmentliving,#reviewyourlandlordsafestan [186] #reviewyourlandlordsafestan,#coronavirus Top Word Pairs in Tweet in G1:
[187] #coronavirus,#covid19 [186] #landlord,#landlords [186] #landlords,#apartmentliving [186] #apartmentliving,#reviewyourlandlordsafestan [186] #reviewyourlandlordsafestan,#coronavirus [186] #covid19,#rentrelief [181] #rentrelief,#evictionmoratorium [181] #evictionmoratorium,#cdc [120] #cdc,#cdc7words [120] #cdc7words,#bannedwords Top Word Pairs in Tweet in G2:
[29] crippling,killing [28] national,campaign [28] campaign,limit [28] limit,effective [28] effective,doses [28] doses,#opioidrxs [28] #opioidrxs,extent [28] extent,crippling [28] killing,many [27] joeallennewman,national Top Word Pairs in Tweet in G3:
[94] #cro,#crofam [87] #cronos,#cdc [82] #crofam,#nft [81] #nft,#fftb [80] #fftb,#nftartist [78] #nftartist,#cronos [66] #cdc,#nftcollectors [57] #alphabots,#cro [50] #cro,#cdc [49] #loadedlions,#psychokitties Top Word Pairs in Tweet in G4:
[173] #ワクチン,#児童 [173] #児童,#心臓病 [173] #心臓病,#cdc [166] 児童がワクチン接種後に深刻な副作用,#ワクチン [166] #cdc,もっと最新情報を知りたい場合は以下のリンクgettrにてご覧ください [165] himalayajapan,児童がワクチン接種後に深刻な副作用 [107] 強制接種と追加接種は,政府による殺人 [107] 政府による殺人,だ [107] だ,#cdc [107] #cdc,#強制的なワクチンの接種 Top Word Pairs in Tweet in G5:
[174] boum,boum [92] blf_tv,c'est [87] boum,là [87] là,plus [87] plus,clair [87] clair,directeur [87] directeur,#cdc [87] #cdc,admet [87] admet,essentiellement [87] essentiellement,#vaccins Top Word Pairs in Tweet in G6:
[104] #cdc,bribed [104] bribed,msm [104] msm,outlets [104] outlets,shill [104] shill,#covid19vaccines [104] #covid19vaccines,hhs [104] hhs,revealed [104] revealed,purchased [104] purchased,ads [104] ads,major Top Word Pairs in Tweet in G7:
[40] curve,balls [39] twitter,feed [39] feed,filling [39] filling,similar [39] similar,stories [39] stories,concerned [39] concerned,immunocompromised [39] immunocompromised,disabled [39] disabled,pts [39] pts,required Top Word Pairs in Tweet in G8:
[17] #cdc,#fda [9] brunelalain6,#thérapienucléique [6] #thérapienucléique,ça [6] ça,commence [6] commence,sentir [6] sentir,cramé [6] cramé,début [6] début,rétropédalage [6] rétropédalage,#cdc [5] #thérapienucléique,tous Top Word Pairs in Tweet in G9:
[101] 我正在看着看着你,目不转睛 [101] 目不转睛,welcome [101] welcome,pandaverse [101] pandaverse,wang [101] wang,yitai [101] yitai,王以太 [101] 王以太,wl [101] wl,giveaway [101] giveaway,collab [101] collab,follow Top Word Pairs in Tweet in G10:
[40] #cdc,#whistleblower [39] huge,true [39] true,#cdc [39] #whistleblower,#vaids [39] #vaids,#aids [39] #aids,#vaccinesideeffects [39] #vaccinesideeffects,#vaccines [39] #vaccines,#vaccinedeaths [38] aboutcovid19,huge [13] here's,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: