The graph represents a network of 7,055 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 08:19 UTC.
The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 2-minute period from Wednesday, 01 July 2020 at 12:11 UTC to Thursday, 02 July 2020 at 12:13 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 : 7055
Unique Edges : 3357
Edges With Duplicates : 8478
Total Edges : 11835
Number of Edge Types : 5
Retweet : 3865
MentionsInRetweet : 4309
Mentions : 1083
Tweet : 2311
Replies to : 267
Self-Loops : 2341
Reciprocated Vertex Pair Ratio : 0.00366703337000367
Reciprocated Edge Ratio : 0.00730727073438071
Connected Components : 2079
Single-Vertex Connected Components : 652
Maximum Vertices in a Connected Component : 1275
Maximum Edges in a Connected Component : 2760
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.105998
Graph Density : 0.000109994841856795
Modularity : 0.536205
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 7,055 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 08:19 UTC.
The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 2-minute period from Wednesday, 01 July 2020 at 12:11 UTC to Thursday, 02 July 2020 at 12:13 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 : Coronavirus
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:
[515] covid,19 [326] coronavirus,cases [128] coronavirus,pandemic [91] mike,pence [86] bad,story [86] story,made [86] made,never [86] never,hear [86] hear,aren [86] aren,informed Top Word Pairs in Tweet in G1:
[58] covid,19 [29] coronavirus,cases [16] coronavirus,pandemic [15] #coronavirus,#covid19 [14] #covid19,#coronavirus [9] 50,000 [8] editorial,review [8] review,remove [8] remove,return [8] return,uk Top Word Pairs in Tweet in G2:
[53] covid,19 [52] young,people [52] people,alabama [52] alabama,throwing [52] throwing,covid [52] 19,parties [52] parties,disturbing [52] disturbing,competition [52] competition,people [52] people,coronavirus Top Word Pairs in Tweet in G3:
[84] convenient,bad [84] bad,story [84] story,made [84] made,never [84] never,hear [84] hear,aren [84] aren,informed [84] informed,tried [83] projectlincoln,convenient [53] old,enough Top Word Pairs in Tweet in G4:
[40] coronavirus,spread [40] spread,dallas [40] dallas,megachurch [40] megachurch,hosted [40] hosted,mike [40] mike,pence [40] pence,group [40] group,first [40] first,baptist [40] baptist,dallas Top Word Pairs in Tweet in G5:
[15] tested,positive [14] american,public [12] coronavirus,cases [12] guests,tested [11] party,100 [11] 100,people [11] people,rockland [11] rockland,county [11] county,york [11] york,party Top Word Pairs in Tweet in G6:
[36] coronavirus,cases [35] texas,more [35] more,daily [35] daily,coronavirus [35] cases,italy [35] italy,global [35] global,epicenter [35] epicenter,pandemic [34] juliancastro,texas [22] rest,western Top Word Pairs in Tweet in G7:
[24] covid,19 [10] young,people [10] people,alabama [10] alabama,throwing [10] throwing,covid [10] 19,parties [10] parties,disturbing [10] disturbing,competition [10] competition,people [10] people,coronavirus Top Word Pairs in Tweet in G8:
[21] 129,000 [21] 000,american [21] american,dead [21] dead,coronavirus [21] coronavirus,presidents [21] presidents,propaganda [21] propaganda,network [21] network,still [21] still,anti [21] anti,mask Top Word Pairs in Tweet in G9:
[4] #covid19,#coronavirus [3] coronavirus,cases [3] #wearamaskbeamaskwarrior,please [3] please,tell [3] tell,others [3] others,wear [3] wear,mask [3] mask,make [3] make,hashtag [3] hashtag,trending Top Word Pairs in Tweet in G10:
[36] 人との距離を保っていてもドアノブや受話器などについた飛沫から新型コロナウイルスに感染することがあります,実験で飛沫を可視化することで [36] 実験で飛沫を可視化することで,こうした接触感染のリスクが高い場所や効果的な対策が見えてきました [36] こうした接触感染のリスクが高い場所や効果的な対策が見えてきました,#あなたに知ってほしい [35] nhk_seikatsu,人との距離を保っていてもドアノブや受話器などについた飛沫から新型コロナウイルスに感染することがあります [35] #あなたに知ってほしい,#nhkモバイル動 [31] #あなたに知ってほしい,#nhkモバイル動画 [30] 新型コロナウイルスの感染者が使った後のトイレを使用すると,便で感染が広がる可能性があります [30] 便で感染が広がる可能性があります,便が感染源となったら [30] 便が感染源となったら,ウイルスはどのように広がるのか [30] ウイルスはどのように広がるのか,実験で可視化しました Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: