The graph represents a network of 9,798 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 Thursday, 13 August 2020 at 10:40 UTC.
The requested start date was Thursday, 13 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 Monday, 10 August 2020 at 07:07 UTC to Wednesday, 12 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 : 9798
Unique Edges : 4968
Edges With Duplicates : 12203
Total Edges : 17171
Number of Edge Types : 5
Retweet : 5311
MentionsInRetweet : 6000
Tweet : 3803
Mentions : 1725
Replies to : 332
Self-Loops : 3849
Reciprocated Vertex Pair Ratio : 0.00532536693077023
Reciprocated Edge Ratio : 0.010594315245478
Connected Components : 2912
Single-Vertex Connected Components : 1116
Maximum Vertices in a Connected Component : 2319
Maximum Edges in a Connected Component : 5186
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 11.067753
Graph Density : 8.06325542624275E-05
Modularity : 0.525189
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,798 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 Thursday, 13 August 2020 at 10:40 UTC.
The requested start date was Thursday, 13 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 Monday, 10 August 2020 at 07:07 UTC to Wednesday, 12 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:
[616] covid,19 [270] coronavirus,cases [265] coronavirus,pandemic [232] death,toll [154] coronavirus,vaccine [148] uk,suffered [147] #coronavirus,death [146] recession,europe [145] suffered,worst [145] worst,#coronavirus Top Word Pairs in Tweet in G1:
[140] covid,19 [40] coronavirus,pandemic [37] #coronavirus,#covid19 [31] coronavirus,cases [30] क,र [28] र,न [24] #covid19,#coronavirus [24] bbc,news [23] story,npr [20] coronavirus,live Top Word Pairs in Tweet in G2:
[19] dr,scott [19] scott,atlas [18] coronavirus,relief [12] coronavirus,cases [12] president,realdonaldtrump [12] realdonaldtrump,coronavirus [10] stanford,dr [10] atlas,finally [10] finally,working [10] working,realdonaldtrump Top Word Pairs in Tweet in G3:
[152] death,toll [141] uk,suffered [141] suffered,worst [141] worst,#coronavirus [141] #coronavirus,death [141] toll,europe [141] europe,worst [141] worst,recession [141] recession,europe [141] europe,suggest Top Word Pairs in Tweet in G4:
[32] covid,19 [22] coronavirus,vaccine [21] coronavirus,pandemic [19] 19,vaccine [13] time,thousands [13] thousands,israelis [13] israelis,rallied [13] rallied,outside [13] outside,pm [13] pm,#netanyahu Top Word Pairs in Tweet in G5:
[20] serco,sitel [19] byline,times [15] smoke,mirrors [15] mirrors,government [15] government,bashing [15] bashing,migrants [15] migrants,distract [15] distract,coronavirus [15] coronavirus,fiasco [14] covid,19 Top Word Pairs in Tweet in G6:
[13] recession,first [13] first,time [13] time,11 [13] 11,years [13] years,due [13] due,impact [13] little,evidence [12] evidence,coronavirus [10] coronavirus,pandemic [10] wear,face Top Word Pairs in Tweet in G7:
[40] caller,tune [30] full,compliance [30] compliance,play [30] play,coronavirus [30] coronavirus,audio [30] audio,message [30] message,mobile [30] mobile,caller [30] tune,dot [30] dot,orders Top Word Pairs in Tweet in G8:
[84] uk,officially [84] recession,first [84] first,time [84] time,11 [84] 11,years [84] years,due [84] due,impact [84] impact,coronavirus [84] coronavirus,pandemic [83] officially,fallen Top Word Pairs in Tweet in G9:
[38] york,coronavirus [38] coronavirus,death [38] death,toll [38] toll,nursing [38] nursing,homes [38] homes,already [25] already,nation [25] nation,highest [25] highest,actually [25] actually,major Top Word Pairs in Tweet in G10:
[55] 詳細は下記urlより,#新型コロナウイルス [49] #新型コロナウイルス,#covid19 [29] conflits_fr,flash [24] ville,chinoise [19] flash,femme [19] femme,ville [19] chinoise,#jingzhou [19] #jingzhou,été [19] été,testée [19] testée,positive 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 Tweeters in Entire Graph:
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Top Tweeters in G10: