The graph represents a network of 9,878 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, 14 August 2020 at 08:44 UTC.
The requested start date was Friday, 14 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, 4-minute period from Tuesday, 11 August 2020 at 07:07 UTC to Thursday, 13 August 2020 at 07:11 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 : 9878
Unique Edges : 4920
Edges With Duplicates : 12135
Total Edges : 17055
Number of Edge Types : 5
Retweet : 5264
MentionsInRetweet : 5962
Tweet : 3823
Mentions : 1666
Replies to : 340
Self-Loops : 3874
Reciprocated Vertex Pair Ratio : 0.00444212176639666
Reciprocated Edge Ratio : 0.00884495317377731
Connected Components : 2989
Single-Vertex Connected Components : 1103
Maximum Vertices in a Connected Component : 1943
Maximum Edges in a Connected Component : 4326
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.472787
Graph Density : 7.87987447056581E-05
Modularity : 0.526819
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,878 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, 14 August 2020 at 08:44 UTC.
The requested start date was Friday, 14 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, 4-minute period from Tuesday, 11 August 2020 at 07:07 UTC to Thursday, 13 August 2020 at 07:11 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:
[599] covid,19 [260] coronavirus,pandemic [254] positive,coronavirus [238] death,toll [225] coronavirus,cases [165] coronavirus,vaccine [157] #coronavirus,death [156] uk,suffered [155] worst,recession [154] recession,europe Top Word Pairs in Tweet in G1:
[143] covid,19 [39] क,र [37] coronavirus,pandemic [33] story,npr [31] र,न [28] #coronavirus,#covid19 [27] coronavirus,cases [27] bbc,news [27] coronavirus,vaccine [25] र,क Top Word Pairs in Tweet in G2:
[11] coronavirus,task [11] task,force [11] coronavirus,relief [9] amid,coronavirus [9] dr,scott [9] scott,atlas [8] young,people [8] donald,trump [8] democrats,lauding [8] lauding,zealand Top Word Pairs in Tweet in G3:
[16] positive,coronavirus [14] highest,single [14] single,day [14] day,spike [14] spike,66 [14] 66,999 [14] 999,cases [13] stage,pm [13] र,न [13] क,र Top Word Pairs in Tweet in G4:
[159] death,toll [147] uk,suffered [147] suffered,worst [147] worst,#coronavirus [147] #coronavirus,death [147] toll,europe [147] europe,worst [147] worst,recession [147] recession,europe [147] europe,suggest Top Word Pairs in Tweet in G5:
[14] serco,sitel [11] coronavirus,crisis [11] hard,times [11] local,public [10] diets,food [10] rishi,sunak [8] case,missed [8] missed,hunger [8] hunger,poor [8] poor,diets Top Word Pairs in Tweet in G6:
[22] students,staff [20] georgia,school [20] school,district [20] district,require [20] require,masks [20] masks,closed [20] closed,high [20] high,school [20] school,over [20] over,100 Top Word Pairs in Tweet in G7:
[92] due,impact [92] coronavirus,pandemic [91] uk,officially [91] recession,first [91] first,time [91] time,11 [91] 11,years [91] years,due [91] impact,coronavirus [82] officially,fallen Top Word Pairs in Tweet in G8:
[32] covid,19 [26] 19,vaccine [17] coincidence,midst [17] midst,calamitous [17] calamitous,handling [17] handling,coronavirus [17] coronavirus,unemployment [17] unemployment,set [17] set,skyrocket [16] russian,covid Top Word Pairs in Tweet in G9:
[48] 詳細は下記urlより,#新型コロナウイルス [42] #新型コロナウイルス,#covid19 [26] conflits_fr,flash [24] ville,chinoise [20] franceinfo,coronavirus [19] flash,femme [19] femme,ville [19] chinoise,#jingzhou [19] #jingzhou,été [19] été,testée Top Word Pairs in Tweet in G10:
[19] coronavirus,vaccine [15] york,coronavirus [15] coronavirus,death [15] death,toll [15] toll,nursing [15] nursing,homes [15] homes,already [15] already,nation [15] nation,highest [15] highest,actually Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: