The graph represents a network of 12,039 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 23 February 2021 at 08:36 UTC.
The requested start date was Tuesday, 23 February 2021 at 01:01 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 3-day, 0-hour, 1-minute period from Friday, 19 February 2021 at 13:45 UTC to Monday, 22 February 2021 at 13:47 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 : 12039
Unique Edges : 7136
Edges With Duplicates : 11454
Total Edges : 18590
Number of Edge Types : 5
Retweet : 5288
MentionsInRetweet : 6298
Tweet : 3625
Replies to : 896
Mentions : 2483
Self-Loops : 3647
Reciprocated Vertex Pair Ratio : 0.00440339383524863
Reciprocated Edge Ratio : 0.00876817792985458
Connected Components : 3894
Single-Vertex Connected Components : 1095
Maximum Vertices in a Connected Component : 815
Maximum Edges in a Connected Component : 1653
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 9.705568
Graph Density : 6.45297146570815E-05
Modularity : 0.58345
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 12,039 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 23 February 2021 at 08:36 UTC.
The requested start date was Tuesday, 23 February 2021 at 01:01 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 3-day, 0-hour, 1-minute period from Friday, 19 February 2021 at 13:45 UTC to Monday, 22 February 2021 at 13:47 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
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:
[3301] covid,19 [621] contra,covid [278] batalla,contra [270] venezuela,avanza [269] avanza,batalla [262] 19,través [255] #bienestarparaelpueblo,venezuela [226] día,#bienestarparaelpueblo [220] través,plan [218] etiqueta,día Top Word Pairs in Tweet in G1:
[377] covid,19 [38] contra,covid [23] 19,vaccine [19] covid,vaccine [13] due,covid [12] during,covid [11] 500,000 [10] casos,covid [9] 19,vaccines [9] 19,pandemic Top Word Pairs in Tweet in G2:
[463] covid,19 [320] contra,covid [259] batalla,contra [258] venezuela,avanza [257] avanza,batalla [249] 19,través [245] #bienestarparaelpueblo,venezuela [218] día,#bienestarparaelpueblo [213] través,plan [208] etiqueta,día Top Word Pairs in Tweet in G3:
[19] covid,contracts [14] think,sure [14] sure,matthancock [14] matthancock,breaking [14] breaking,law [14] law,covid [14] contracts,far [14] far,bigger [14] bigger,news [13] high,court Top Word Pairs in Tweet in G4:
[48] covid,19 [12] 500,000 [11] #ياريس_ارجوك_الطلاب_هتموت,egyptian [11] egyptian,government [11] government,forcing [11] forcing,take [11] take,exams [11] exams,college [11] college,third [11] third,wave Top Word Pairs in Tweet in G5:
[17] covid,19 [12] covid,cases [7] isn,tragic [7] tragic,pune [7] pune,city [7] city,reporting [7] reporting,big [7] big,surge [7] surge,covid [7] cases,time Top Word Pairs in Tweet in G6:
[29] covid,19 [12] covid,cases [12] cases,dropped [12] dropped,77 [12] 77,six [12] six,weeks [12] weeks,experts [12] experts,level [12] level,public [12] public,good Top Word Pairs in Tweet in G7:
[14] covid,19 [13] americans,died [11] hard,put [11] put,context [11] context,magnitude [11] magnitude,#covid19 [11] #covid19,deaths [11] deaths,staggering [11] staggering,more [11] more,americans Top Word Pairs in Tweet in G8:
[22] malas,decisiones [22] decisiones,económicas [22] económicas,lopezobrador_ [22] lopezobrador_,hunden [22] hunden,méxico [22] méxico,#opinión [22] #opinión,postopinion_es [22] postopinion_es,washingtonpost [21] carlosloret,malas [19] covid,19 Top Word Pairs in Tweet in G9:
[21] covid,19 [14] 500,000 [11] wsj,johns [11] johns,hopkins [11] hopkins,school [11] school,medicine [11] medicine,professor [11] professor,writes [11] writes,'we [11] 'we,ll Top Word Pairs in Tweet in G10:
[31] past,fact [31] fact,74 [31] 74,year [31] year,old [31] old,drug [31] drug,addict [31] addict,sexual [31] sexual,predator [31] predator,bankrupted [31] bankrupted,biz 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: