The graph represents a network of 10,699 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 Sunday, 18 April 2021 at 07:18 UTC.
The requested start date was Sunday, 18 April 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 2-day, 0-hour, 2-minute period from Wednesday, 14 April 2021 at 13:26 UTC to Friday, 16 April 2021 at 13:28 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 : 10699
Unique Edges : 6146
Edges With Duplicates : 12901
Total Edges : 19047
Number of Edge Types : 5
Tweet : 3397
Retweet : 5742
MentionsInRetweet : 7038
Mentions : 2513
Replies to : 357
Self-Loops : 3437
Reciprocated Vertex Pair Ratio : 0.00741386829481029
Reciprocated Edge Ratio : 0.0147186147186147
Connected Components : 3175
Single-Vertex Connected Components : 999
Maximum Vertices in a Connected Component : 999
Maximum Edges in a Connected Component : 2342
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.020449
Graph Density : 8.07283712049868E-05
Modularity : 0.549331
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,699 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 Sunday, 18 April 2021 at 07:18 UTC.
The requested start date was Sunday, 18 April 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 2-day, 0-hour, 2-minute period from Wednesday, 14 April 2021 at 13:26 UTC to Friday, 16 April 2021 at 13:28 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:
[7485] covid,19 [540] contra,covid [508] อ,covid [388] 19,vaccine [231] 19,cases [216] เข,าร [213] positive,covid [208] นนน,กรภ [208] กรภ,ทร [208] ทร,เก Top Word Pairs in Tweet in G1:
[866] covid,19 [56] 19,vaccine [52] contra,covid [27] 19,vaccines [24] 19,pandemic [18] 19,cases [17] #covid,19 [13] vacuna,contra [13] pandemia,covid [12] 19,em Top Word Pairs in Tweet in G2:
[584] covid,19 [108] contra,covid [65] vacunas,anti [65] anti,covid [60] lucha,contra [58] propagación,covid [58] mippcivzla,#notimippci [54] 19,venezuela [51] evitar,propagación [51] vtvcanal8,#envideo Top Word Pairs in Tweet in G3:
[197] covid,19 [22] 19,cases [16] क,स [16] र,न [16] please,postpone [14] gujarat,govt [14] च,क [14] 19,pandemic [13] न,व [12] न,क Top Word Pairs in Tweet in G4:
[426] covid,19 [416] อ,covid [208] นนน,กรภ [208] กรภ,ทร [208] ทร,เก [208] เก,ดพ [208] ดพ,นธ [208] นธ,ได [208] ได,เข [208] เข,าร Top Word Pairs in Tweet in G5:
[202] covid,19 [112] positive,covid [93] tests,positive [86] pawankalyan,garu [85] tested,positive [85] well,soon [76] soon,pawankalyan [69] speedy,recovery [67] pawan,kalyan [67] recovery,covid Top Word Pairs in Tweet in G6:
[48] covid,19 [11] 19,vaccine [8] million,children [8] children,#tigray [8] #tigray,missed [8] missed,education [8] education,march [8] march,2020 [8] 2020,due [8] due,covid Top Word Pairs in Tweet in G7:
[47] 学校運動会はcovid,19で [47] 19で,中止 [47] 中止,だがオリンピックは開催ok [46] karyn_nishi,学校運動会はcovid [40] ちなみにあまり報道されていませんが,大阪府では小児用icuをつぶして成人covid [40] 大阪府では小児用icuをつぶして成人covid,19の重症者を引き受けている施設があります [39] invesdoctor,ちなみにあまり報道されていませんが [8] なんでさ5gの内部機器の名前がcovid,19なのよ [7] 大阪のicuベッド数は610余りで,そのうち約30 [7] そのうち約30,をcovid Top Word Pairs in Tweet in G8:
[80] covid,19 [25] 19,hospital [22] outside,covid [22] coronavirus,disease [20] hospital,amidst [19] amidst,spread [19] spread,coronavirus [17] scenes,inside [17] inside,outside [17] disease,delhi Top Word Pairs in Tweet in G9:
[67] covid,19 [41] contra,covid [25] preso,censurado [25] censurado,espancado [25] espancado,torturado [24] torturado,cadeia [24] cadeia,impedido [24] impedido,dar [24] dar,entrevistas [24] entrevistas,recuperando Top Word Pairs in Tweet in G10:
[40] covid,19 [12] 19,vaccine [9] 19,vaccines [8] nepal's,population [8] population,one [8] one,horned [8] horned,rhinos [8] rhinos,increased [8] increased,highest [8] highest,number Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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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:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: