The graph represents a network of 8,300 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 Wednesday, 01 June 2022 at 08:48 UTC.
The requested start date was Wednesday, 01 June 2022 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, 1-hour, 12-minute period from Sunday, 29 May 2022 at 11:13 UTC to Tuesday, 31 May 2022 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 : 8300
Unique Edges : 4050
Edges With Duplicates : 11034
Total Edges : 15084
Number of Edge Types : 5
Retweet : 4809
MentionsInRetweet : 5106
Tweet : 2858
Mentions : 1729
Replies to : 582
Self-Loops : 3038
Reciprocated Vertex Pair Ratio : 0.00684618895481515
Reciprocated Edge Ratio : 0.013599274705349
Connected Components : 2356
Single-Vertex Connected Components : 1160
Maximum Vertices in a Connected Component : 843
Maximum Edges in a Connected Component : 1815
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 7.615786
Graph Density : 9.60777681154791E-05
Modularity : 0.499704
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,300 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 Wednesday, 01 June 2022 at 08:48 UTC.
The requested start date was Wednesday, 01 June 2022 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, 1-hour, 12-minute period from Sunday, 29 May 2022 at 11:13 UTC to Tuesday, 31 May 2022 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 : 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:
[738] covid,19 [379] vamos,ver [379] ver,occidente [379] occidente,sacar [379] sacar,trigo [379] trigo,ucrania [379] ucrania,meter [379] meter,armamento [379] armamento,manera [379] manera,masiva Top Word Pairs in Tweet in G1:
[178] covid,19 [43] #coronavirus,#covid19 [39] coronavirus,cases [36] #covid19,#coronavirus [30] cases,day [29] coronavirus,pandemic [27] 100,000 [24] 51,778 [22] casos,coronavirus [21] contagios,coronavirus Top Word Pairs in Tweet in G2:
[377] vamos,ver [377] ver,occidente [377] occidente,sacar [377] sacar,trigo [377] trigo,ucrania [377] ucrania,meter [377] meter,armamento [377] armamento,manera [377] manera,masiva [377] masiva,combatir Top Word Pairs in Tweet in G3:
[159] chris,bryant [156] dan,wootton [156] science,forever [156] forever,used [156] used,herd [156] herd,immunity [155] wootton,science [155] immunity,order [155] order,deal [155] deal,coronavirus Top Word Pairs in Tweet in G4:
[40] #thingstodo,during [40] during,#coronavirus [40] #coronavirus,#quarantine [40] #quarantine,number [30] covid,19 [23] jamesvgingerich,#thingstodo [17] #covid19,#coronavirus [17] gmt,#coronavirus [17] #coronavirus,#coronavirusupdate [17] #coronavirusupdate,#covid19 Top Word Pairs in Tweet in G5:
[104] image,queen [104] queen,pictured [104] pictured,piccadilly [104] piccadilly,circus [104] circus,following [104] following,broadcast [104] broadcast,uk [104] uk,commonwealth [104] commonwealth,during [103] royalfamily,image Top Word Pairs in Tweet in G6:
[7] blood,clotting [7] clotting,mrna [7] mrna,poison [7] poison,fucking [7] fucking,coronavirus [7] coronavirus,r3tard [7] r3tard,believes [7] believes,wise [6] gerarddelaney39,blood [3] number,deaths Top Word Pairs in Tweet in G7:
[47] dramatische,entwicklung [47] entwicklung,deutschland [47] deutschland,bereits [47] bereits,seit [47] seit,monaten [47] monaten,hingewiesen [47] hingewiesen,schulkindern [47] schulkindern,zwischen [46] chanasitjonas,dramatische [7] #covid19,infektion Top Word Pairs in Tweet in G8:
[104] portugal,erlebt [104] erlebt,gerade [104] gerade,ba [104] ba,sommerwelle [104] sommerwelle,mehr [104] mehr,30 [104] 30,000 [104] 000,infektionen [104] infektionen,derzeit [104] derzeit,alle Top Word Pairs in Tweet in G9:
[9] adolescent,allemand [9] faisant,rembourser [9] rembourser,tests [9] tests,covid [9] covid,fictifs [8] allemand,empoche [8] empoche,près [8] près,millions [8] millions,euros [8] euros,faisant Top Word Pairs in Tweet in G10:
[94] nuevos,efectos [94] efectos,secundarios [85] alertan,nuevos [85] secundarios,provocados [85] provocados,vacunas [85] vacunas,coronavirus [81] abc_es,alertan [9] vejiga,hiperactiva [9] hiperactiva,nuevos [9] secundarios,vacuna Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: