The graph represents a network of 10,179 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 Monday, 18 January 2021 at 10:17 UTC.
The requested start date was Monday, 18 January 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, 3-minute period from Thursday, 14 January 2021 at 13:49 UTC to Sunday, 17 January 2021 at 13:53 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 : 10179
Unique Edges : 4894
Edges With Duplicates : 12090
Total Edges : 16984
Number of Edge Types : 5
Retweet : 5484
MentionsInRetweet : 6047
Mentions : 1677
Tweet : 3356
Replies to : 420
Self-Loops : 3393
Reciprocated Vertex Pair Ratio : 0.00551352737530453
Reciprocated Edge Ratio : 0.0109665901555726
Connected Components : 3020
Single-Vertex Connected Components : 1078
Maximum Vertices in a Connected Component : 1481
Maximum Edges in a Connected Component : 3201
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.849942
Graph Density : 7.56936202555896E-05
Modularity : 0.5359
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 10,179 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 Monday, 18 January 2021 at 10:17 UTC.
The requested start date was Monday, 18 January 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, 3-minute period from Thursday, 14 January 2021 at 13:49 UTC to Sunday, 17 January 2021 at 13:53 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:
[774] covid,19 [185] coronavirus,vaccine [143] coronavirus,pandemic [127] contra,coronavirus [107] coronavirus,variant [98] #covid19,#coronavirus [94] human,human [94] human,transmission [92] 965,000 [91] novel,coronavirus Top Word Pairs in Tweet in G1:
[104] covid,19 [30] #covid19,#coronavirus [21] #coronavirus,#covid19 [19] coronavirus,vaccine [15] coronavirus,pandemic [13] contra,coronavirus [13] 19,vaccine [13] ice,cream [12] novo,coronavírus [12] क,र Top Word Pairs in Tweet in G2:
[24] last,week [21] covid,19 [15] first,time [15] coronavirus,pandemic [15] unemployment,claims [15] claims,rose [15] rose,sharply [15] sharply,last [15] week,over [15] over,million Top Word Pairs in Tweet in G3:
[83] brazil,manaus [83] manaus,#covid19 [83] #covid19,epidemic [83] epidemic,getting [83] getting,epically [83] epically,worse [83] worse,many [83] many,scientists [83] scientists,suspect [82] drericding,brazil Top Word Pairs in Tweet in G4:
[42] government,know [42] know,something [42] something,fda [42] fda,pfizer [42] pfizer,seriously [42] seriously,willing [42] willing,consider [42] consider,gambling [41] doctor_oxford,government [19] 30,seconds Top Word Pairs in Tweet in G5:
[52] 965,000 [46] jobless,claims [40] breaking,jobless [40] claims,jump [40] jump,965 [40] 000,layoffs [40] layoffs,remain [40] remain,high [40] high,economy [40] economy,grip Top Word Pairs in Tweet in G6:
[43] vaccine,deliveries [43] deliveries,europe [43] covid,vaccine [41] pfizer,temporarily [41] temporarily,reduces [41] reduces,covid [41] reuters,pfizer [16] denies,entry [16] entry,two [16] team,members Top Word Pairs in Tweet in G7:
[48] estado,brasileño [48] brasileño,amazonas [44] venezuela,enviará [44] enviará,tanques [44] tanques,oxígeno [44] oxígeno,estado [44] amazonas,ante [44] ante,colapso [44] colapso,sanitario [44] sanitario,coronavirus Top Word Pairs in Tweet in G8:
[25] preliminary,investigations [25] investigations,conducted [25] conducted,chinese [25] chinese,authorities [25] authorities,found [25] found,clear [25] clear,evidence [25] evidence,human [25] human,human [25] human,transmission Top Word Pairs in Tweet in G9:
[50] ivermectina,previene [50] previene,coronavirus [50] coronavirus,sabemos [50] sabemos,medicamento [50] medicamento,dicen [50] dicen,científicos [41] cnnee,ivermectina [28] covid,19 [14] corbata,protege [14] protege,covid Top Word Pairs in Tweet in G10:
[31] última,hora [25] toque,queda [24] el_pais,última [21] adelanta,toque [18] comunidad,madrid [17] #zendal,pelotazo [17] castilla,león [16] president,elect [16] elect,joe [16] joe,biden 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 G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: