The graph represents a network of 5,596 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 January 2021 at 10:51 UTC.
The requested start date was Wednesday, 27 January 2021 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 10-day, 11-hour, 7-minute period from Wednesday, 13 January 2021 at 01:03 UTC to Saturday, 23 January 2021 at 12:10 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 : 5596
Unique Edges : 3055
Edges With Duplicates : 8701
Total Edges : 11756
Number of Edge Types : 5
Retweet : 3512
MentionsInRetweet : 4497
Tweet : 2024
Mentions : 1359
Replies to : 364
Self-Loops : 2123
Reciprocated Vertex Pair Ratio : 0.00869880391446176
Reciprocated Edge Ratio : 0.0172475745598275
Connected Components : 1241
Single-Vertex Connected Components : 798
Maximum Vertices in a Connected Component : 2616
Maximum Edges in a Connected Component : 6204
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.900864
Graph Density : 0.000177772837869
Modularity : 0.496116
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 5,596 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 January 2021 at 10:51 UTC.
The requested start date was Wednesday, 27 January 2021 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 10-day, 11-hour, 7-minute period from Wednesday, 13 January 2021 at 01:03 UTC to Saturday, 23 January 2021 at 12:10 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:
[850] 重要なお知らせ,1月26日より [850] 1月26日より,#米国 [850] #米国,に飛行機で入国する全ての渡航者は [850] に飛行機で入国する全ての渡航者は,米国へのフライト [850] 米国へのフライト,が出発する3日以内に受けた [850] が出発する3日以内に受けた,#covid19 [850] #covid19,#pcr [850] #pcr,検査の陰性証明書を航空会社に提出することが必要となります [850] 検査の陰性証明書を航空会社に提出することが必要となります,詳細は [850] 詳細は,#cdc Top Word Pairs in Tweet in G1:
[846] 重要なお知らせ,1月26日より [846] 1月26日より,#米国 [846] #米国,に飛行機で入国する全ての渡航者は [846] に飛行機で入国する全ての渡航者は,米国へのフライト [846] 米国へのフライト,が出発する3日以内に受けた [846] が出発する3日以内に受けた,#covid19 [846] #covid19,#pcr [846] #pcr,検査の陰性証明書を航空会社に提出することが必要となります [846] 検査の陰性証明書を航空会社に提出することが必要となります,詳細は [846] 詳細は,#cdc Top Word Pairs in Tweet in G2:
[107] #coronavirus,#covid19 [104] covid,19 [97] #cdc,#cdc7words [97] #cdc7words,#bannedwords [97] #bannedwords,#orwell [97] #orwell,#doubleplusgoodspeak [97] #doubleplusgoodspeak,#maga [97] #maga,#trumphasdementia [96] #rent,#landlord [96] #landlord,#landlords Top Word Pairs in Tweet in G3:
[65] covid,19 [33] medical,conditions [25] 50,64 [19] #covid19,vaccine [18] #cdc,guidelines [18] cdc,guidelines [17] day,#cdc [16] #covid19,#vaccines [16] year,ago [16] ago,today Top Word Pairs in Tweet in G4:
[414] respiratory,health [414] health,greatly [414] greatly,important [414] important,dad [414] dad,therealnimoy [414] therealnimoy,know [414] know,certain [414] certain,highly [414] highly,recommend [414] recommend,wearing Top Word Pairs in Tweet in G5:
[138] balrog,oil [138] oil,painting [138] painting,wood [138] wood,panel [138] panel,done [138] done,#characterdesignchallenge [138] #characterdesignchallenge,facebook [138] facebook,#cdc [138] #cdc,#lotr [137] edward_delandre,balrog Top Word Pairs in Tweet in G6:
[12] #cdc,#prop [12] severe,pain [12] analysis,insurance [12] insurance,claims [12] claims,#cdc [12] #cdc,suggests [12] suggests,#lyme [12] #lyme,disease [12] disease,far [12] far,more Top Word Pairs in Tweet in G7:
[5] timing,2nd [4] cnn,anything [4] anything,#cdc [4] #cdc,doing [4] doing,job [4] job,big [4] big,failure [4] failure,spread [4] spread,covid [4] covid,19 Top Word Pairs in Tweet in G8:
[52] starting,jan [52] jan,26 [52] 26,travelers [52] travelers,age [52] age,older [52] older,including [52] including,citizens [52] citizens,residents [52] residents,required [52] required,present Top Word Pairs in Tweet in G9:
[67] #cdc,guidelines [66] #usps,workers [64] phase,1b [63] workers,phase [62] #ny,following [62] following,#cdc [62] guidelines,clearly [62] clearly,include [62] include,#usps [62] 1b,nygovcuomo Top Word Pairs in Tweet in G10:
[72] #respetensemáforoepidemiológico,#cdc [71] eduardolopezute,#respetensemáforoepidemiológico Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: