The graph represents a network of 11,534 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 06 August 2020 at 07:23 UTC.
The requested start date was Thursday, 06 August 2020 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 2-day, 0-hour, 1-minute period from Monday, 03 August 2020 at 12:24 UTC to Wednesday, 05 August 2020 at 12:25 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 : 11534
Unique Edges : 6415
Edges With Duplicates : 12072
Total Edges : 18487
Number of Edge Types : 5
Retweet : 5568
MentionsInRetweet : 6534
Tweet : 3538
Mentions : 2318
Replies to : 529
Self-Loops : 3589
Reciprocated Vertex Pair Ratio : 0.00664525418097242
Reciprocated Edge Ratio : 0.0132027725822423
Connected Components : 3623
Single-Vertex Connected Components : 1082
Maximum Vertices in a Connected Component : 598
Maximum Edges in a Connected Component : 1107
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.248997
Graph Density : 6.83272378080009E-05
Modularity : 0.568414
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,534 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 06 August 2020 at 07:23 UTC.
The requested start date was Thursday, 06 August 2020 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 2-day, 0-hour, 1-minute period from Monday, 03 August 2020 at 12:24 UTC to Wednesday, 05 August 2020 at 12:25 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 : COVID-19
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:
[6850] covid,19 [297] 19,economic [294] country,depends [294] depends,imports [294] imports,survive [294] survive,officially [294] officially,lost [294] lost,main [294] main,sea [294] sea,port Top Word Pairs in Tweet in G1:
[879] covid,19 [30] 19,pandemic [30] 19,cases [27] during,covid [18] positive,covid [17] #covid,19 [17] casos,covid [16] due,covid [15] cegah,covid [14] contra,covid Top Word Pairs in Tweet in G2:
[244] covid,19 [50] contra,covid [22] 24,horas [21] #covid,19 [20] casos,covid [20] últimas,24 [19] lucha,contra [19] pdte,nicolasmaduro [18] 477,casos [17] batalla,contra Top Word Pairs in Tweet in G3:
[299] covid,19 [294] country,depends [294] depends,imports [294] imports,survive [294] survive,officially [294] officially,lost [294] lost,main [294] main,sea [294] sea,port [294] port,mid Top Word Pairs in Tweet in G4:
[152] covid,19 [37] donald,trump [35] day,one [35] one,donald [35] trump,downplayed [35] downplayed,threat [35] threat,covid [35] 19,posed [35] posed,ignored [35] ignored,scientists Top Word Pairs in Tweet in G5:
[85] covid,19 [23] cancel,compartment [20] compartment,exam [15] please,cancel [13] hrdministry,drrpnishank [12] 19,pandemic [12] न,क [11] 19,क [9] स,क [9] क,क Top Word Pairs in Tweet in G6:
[50] covid,19 [46] big,admission [46] admission,cdc [46] cdc,director [46] director,possible [46] possible,recorded [46] recorded,covid [46] covid,deaths [46] deaths,involve [46] involve,patients Top Word Pairs in Tweet in G7:
[74] covid,19 [13] nursing,home [10] trump,administration [10] administration,plan [10] plan,provide [10] provide,nursing [10] home,fast [10] fast,covid [10] 19,testing [10] testing,machine Top Word Pairs in Tweet in G8:
[36] これはもちろん直接covid,19に関係ある話ではないのですが [36] 19に関係ある話ではないのですが,ヨード系のうがい薬 [36] ヨード系のうがい薬,イソジン [36] イソジン,は水うがいに比べて風邪への予防効果が劣り [36] は水うがいに比べて風邪への予防効果が劣り,うがいしないのとほぼ同じ [36] うがいしないのとほぼ同じ,というrctが京都大学から報告されているのは [35] saitoseiji,これはもちろん直接covid [35] というrctが京都大学から報告されているのは,プライマリケアや保健管理の領域では有名 [34] 残念ながらブラジルから,covid [34] covid,19子宮内感染による胎児死亡5例の報告がありました Top Word Pairs in Tweet in G9:
[67] sûrement,seul [67] seul,homme [67] homme,terre [67] terre,content [67] content,avoir [67] avoir,covid [67] covid,19 [66] gaspardooo,sûrement Top Word Pairs in Tweet in G10:
[48] covid,19 [18] 19,deaths [17] presidency,summed [17] summed,country [17] country,hit [17] hit,154 [17] 154,000 [17] 000,covid [17] deaths,jobless [17] jobless,rate Top Replied-To in Entire Graph:
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Top Replied-To in G10:
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 G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: