The graph represents a network of 5,883 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, 27 July 2022 at 10:02 UTC.
The requested start date was Wednesday, 27 July 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 9-day, 3-hour, 52-minute period from Sunday, 17 July 2022 at 20:08 UTC to Wednesday, 27 July 2022 at 00:01 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 : 5883
Unique Edges : 3588
Edges With Duplicates : 11175
Total Edges : 14763
Number of Edge Types : 5
Tweet : 1941
Retweet : 3784
MentionsInRetweet : 4891
Replies to : 1545
Mentions : 2602
Self-Loops : 2056
Reciprocated Vertex Pair Ratio : 0.0122030589000976
Reciprocated Edge Ratio : 0.0241118791191127
Connected Components : 968
Single-Vertex Connected Components : 575
Maximum Vertices in a Connected Component : 2917
Maximum Edges in a Connected Component : 9192
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.298221
Graph Density : 0.00017977791229092
Modularity : 0.433038
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,883 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, 27 July 2022 at 10:02 UTC.
The requested start date was Wednesday, 27 July 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 9-day, 3-hour, 52-minute period from Sunday, 17 July 2022 at 20:08 UTC to Wednesday, 27 July 2022 at 00:01 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:
[886] president,biden [684] testing,capacity [678] department,health [678] health,human [678] human,services [677] services,increases [675] increases,testing [625] capacity,80 [621] 80,000 [611] 000,tests Top Word Pairs in Tweet in G1:
[884] president,biden [681] testing,capacity [675] department,health [675] health,human [675] human,services [675] services,increases [673] increases,testing [622] capacity,80 [618] 80,000 [608] 000,tests Top Word Pairs in Tweet in G2:
[85] #cdc,#cdc7words [85] #cdc7words,#bannedwords [85] #bannedwords,#orwell [85] #orwell,#doubleplusgoodspeak [85] #doubleplusgoodspeak,#maga [85] #maga,#trumphasdementia [47] covid,19 [28] #cdc,#who [26] based,#cdc [24] #monkeypox,#cdc Top Word Pairs in Tweet in G3:
[76] #cdc,#covid [54] covid,19 [43] #cdc,#who [42] public,health [32] health,emergency [32] #who,#cdc [28] #ahrcusa,#imadhamad [27] #imadhamad,#ahrc [24] #cdc,#nih [21] #publichealth,#infectiousdiseases Top Word Pairs in Tweet in G4:
[95] latest,piece [95] piece,false [95] false,narratives [95] narratives,opioids [95] opioids,hurting [95] hurting,patients [95] patients,#chronicpain [95] #chronicpain,#publicchoice [95] #publicchoice,#collectiveaction [94] nitaghei,latest Top Word Pairs in Tweet in G5:
[204] door,oa [204] oa,schoolsluitingen [204] schoolsluitingen,mondkapjes [204] mondkapjes,corona [204] corona,vaccinatie [204] vaccinatie,kinderen [204] kinderen,houden [204] houden,steeds [204] steeds,meer [203] vegtdoor,door Top Word Pairs in Tweet in G6:
[257] angry,many [257] many,people [257] people,used [257] used,mad [246] crofamnft,10 [241] rangsan30466330,angry [163] #cro,#crofam [155] mad,crofamnft [134] #nft,#nftthailand [121] #crofam,#fftb Top Word Pairs in Tweet in G7:
[167] 米,4歳未満の子供のコロナ死亡率はわずか0 [167] 4歳未満の子供のコロナ死亡率はわずか0,000022 [167] 000022,児童へのワクチン接種は正に虐殺 [167] #ワクチン接種,#新型コロナ [164] #新型コロナ,#cdc [164] #cdc,#子供 [164] #子供,#ワクチン薬害 [161] 児童へのワクチン接種は正に虐殺,#ワクチン接種 [161] #ワクチン薬害,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 [160] himalayajapan,米 Top Word Pairs in Tweet in G8:
[36] #cro,#crofam [22] #nfts,#nft [19] nbstudio,cryptocom [19] cryptocomnft,#nfts [19] #nft,#loadedlions [19] #loadedlions,#cro [18] cryptocom,nft [18] nft,cryptocomnft [17] cryptocomnft,cryptocom [16] #crofam,#ufc Top Word Pairs in Tweet in G9:
[133] maxinelai2019,#cdc [36] #cdc,今日羅副ㄉ衛教 [36] 今日羅副ㄉ衛教,主要是想給我朋友看 [36] 主要是想給我朋友看,他原本自詡身體好 [36] 他原本自詡身體好,打滿疫苗且在感染新冠時也沒啥症狀 [36] 打滿疫苗且在感染新冠時也沒啥症狀,結果得完新冠後就體驗了人生第一次的帶狀皰疹 [36] 結果得完新冠後就體驗了人生第一次的帶狀皰疹,拍拍他 [26] #cdc,昨天畫完交頭接耳不知道要打啥文字 [26] 昨天畫完交頭接耳不知道要打啥文字,看完了今天ㄉ記者會覺得應該是這樣 [2] #cdc,本日一夫當關 Top Word Pairs in Tweet in G10:
[63] ceos,300 [63] 300,#health [63] #health,care [63] care,companies [63] companies,collectively [63] collectively,took [63] took,home [63] home,more [63] more,billion [63] billion,2021 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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: