The graph represents a network of 22,041 Twitter users whose recent tweets contained "Corona Flu", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 08 March 2020 at 18:25 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 54-minute period from Friday, 06 March 2020 at 15:04 UTC to Sunday, 08 March 2020 at 15:58 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 : 22041
Unique Edges : 22528
Edges With Duplicates : 2570
Total Edges : 25098
Number of Edge Types : 5
Tweet : 3540
Retweet : 9118
Replies to : 5456
Mentions : 5221
MentionsInRetweet : 1763
Self-Loops : 3608
Reciprocated Vertex Pair Ratio : 0.00700412299438677
Reciprocated Edge Ratio : 0.0139108129439621
Connected Components : 4925
Single-Vertex Connected Components : 2326
Maximum Vertices in a Connected Component : 9996
Maximum Edges in a Connected Component : 13677
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.052819
Graph Density : 4.17305119620743E-05
Modularity : 0.833172
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 22,041 Twitter users whose recent tweets contained "Corona Flu", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 08 March 2020 at 18:25 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 54-minute period from Friday, 06 March 2020 at 15:04 UTC to Sunday, 08 March 2020 at 15:58 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 : TwitterSearch
Graph Term : Corona Flu
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:
[9992] corona,virus [2061] bird,flu [1791] people,died [1626] corona,china [1624] nipah,malaysia [1623] dengue,manila [1610] congo,nipah [1600] hong,kong [1583] flu,hong [1555] swine,flu Top Word Pairs in Tweet in G1:
[1332] corona,virus [204] flu,corona [162] swine,flu [157] corona,flu [150] more,people [119] virus,flu [108] #corona,#virus [106] #coronavirus,#corona [105] #virus,#coronavirusoutbreak [104] #coronavirusoutbreak,#covid2019 Top Word Pairs in Tweet in G2:
[1554] congo,nipah [1554] nipah,malaysia [1554] corona,china [1554] bird,flu [1554] dengue,manila [1553] flu,hong [1553] hong,kong [1102] ebola,south [1102] south,sudan [1102] sudan,bird Top Word Pairs in Tweet in G3:
[458] corona,virus [186] corona,flu [146] flu,season [129] 000,deaths [122] 18,000 [103] cdc,stats [103] 32,million [102] million,americans [102] cases,14 [101] deaths,coronavirus Top Word Pairs in Tweet in G4:
[1005] corona,virus [922] mortality,rate [767] intensive,care [555] virus,flu [467] swine,flu [462] saying,corona [461] people,saying [461] flu,thing [461] thing,mortality [461] rate,italy Top Word Pairs in Tweet in G5:
[852] corona,virus [834] more,people [834] people,die [834] die,regular [834] regular,fucking [834] fucking,flu [834] flu,year [834] year,number [834] number,people [834] people,died Top Word Pairs in Tweet in G6:
[686] corona,virus [299] flu,over [299] people,year [297] 26,150 [297] 150,people [297] people,die [297] die,united [297] united,states [297] states,year [297] year,average Top Word Pairs in Tweet in G7:
[210] corona,virus [163] contract,flu [163] flu,gonna [163] gonna,probably [163] probably,feel [163] feel,symptoms [163] symptoms,24hrs [163] 24hrs,48hrs [163] 48hrs,time [163] time,infect Top Word Pairs in Tweet in G8:
[373] corona,virus [371] people,people [371] people,flu [371] flu,corona [2] symptoms,corona [2] virus,back [2] back,november [2] november,tested [2] tested,negative [2] negative,flu Top Word Pairs in Tweet in G9:
[104] corona,virus [23] flu,corona [22] more,people [20] death,rate [20] swine,flu [19] 4evernevertrump,elonmusk [17] elonmusk,flu [17] people,died [16] mortality,rate [12] flu,killed Top Word Pairs in Tweet in G10:
[530] corona,virus [263] flu,similar [260] death,rate [259] damn,corona [259] virus,thing [259] thing,actually [259] actually,pretty [259] pretty,scary [259] scary,everyone [259] everyone,actually Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G7:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: