The graph represents a network of 9,588 Twitter users whose recent tweets contained "#viralkindness", 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 Tuesday, 17 March 2020 at 20:28 UTC.
The tweets in the network were tweeted over the 6-day, 7-hour, 54-minute period from Wednesday, 11 March 2020 at 11:35 UTC to Tuesday, 17 March 2020 at 19:30 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 : 9588
Unique Edges : 10886
Edges With Duplicates : 798
Total Edges : 11684
Number of Edge Types : 5
Replies to : 334
Mentions : 759
Retweet : 7494
MentionsInRetweet : 1757
Tweet : 1340
Self-Loops : 1365
Reciprocated Vertex Pair Ratio : 0.00811785929043897
Reciprocated Edge Ratio : 0.0161049806143752
Connected Components : 1035
Single-Vertex Connected Components : 552
Maximum Vertices in a Connected Component : 6984
Maximum Edges in a Connected Component : 8774
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.566364
Graph Density : 0.000109431929162522
Modularity : 0.824812
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 9,588 Twitter users whose recent tweets contained "#viralkindness", 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 Tuesday, 17 March 2020 at 20:28 UTC.
The tweets in the network were tweeted over the 6-day, 7-hour, 54-minute period from Wednesday, 11 March 2020 at 11:35 UTC to Tuesday, 17 March 2020 at 19:30 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 : #viralkindness
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:
[1807] fill,pop [1703] great,idea [1650] neighbour's,letterbox [1644] feel,free [1626] free,share [1610] community,#viralkindness [1609] share,print [1597] please,feel [1585] give,people [1584] friend,becky Top Word Pairs in Tweet in G1:
[1458] friend,becky [1456] copywriting,friend [1456] please,feel [1456] feel,free [1456] free,share [1456] share,print [1456] print,anyone [1456] anyone,street [1456] street,community [1456] community,#viralkindness Top Word Pairs in Tweet in G2:
[1428] wonderful,wife [1427] great,idea [1419] fill,pop [1417] going,viral [1417] viral,wash [1417] wash,hands [1417] hands,print [1417] print,fill [1417] pop,neighbour's [1417] neighbour's,letterbox Top Word Pairs in Tweet in G3:
[64] self,isolating [35] idea,#viralkindness [27] great,idea [27] help,those [21] becky,wass [20] help,people [19] lovely,idea [18] those,self [17] people,self [15] need,help Top Word Pairs in Tweet in G4:
[140] fill,pop [135] please,print [135] print,postcard [135] postcard,fill [135] simple,#viralkindness [130] pop,letterboxes [130] letterboxes,elderly [130] neighbours,simple [130] #viralkindness,#helpeachother [129] government,isn Top Word Pairs in Tweet in G5:
[107] help,those [105] #viralkindness,wouldn [105] wouldn,great [105] great,more [105] more,people [105] people,putting [105] putting,neighbours [105] neighbours,doors [83] self,isolating [63] offering,help Top Word Pairs in Tweet in G6:
[60] self,isolating [39] still,visit [39] visit,neighbour [39] neighbour,self [39] isolating,maintain [39] maintain,ft [39] ft,distance [39] distance,continue [39] continue,find [39] find,safe Top Word Pairs in Tweet in G7:
[155] coronavirus,#viralkindness [152] chinese,cuban [152] cuban,doctors [152] doctors,arrive [152] arrive,italy [152] italy,31 [152] 31,tons [152] tons,medical [152] medical,supplies [152] supplies,help Top Word Pairs in Tweet in G8:
[175] inspiring,see [175] see,people [175] people,responding [175] responding,global [175] global,crisis [175] crisis,simple [175] simple,acts [175] acts,friendship [175] friendship,kindness [175] kindness,great Top Word Pairs in Tweet in G9:
[194] help,neighbours [181] print,note [181] note,help [180] let's,make [180] make,kindness [180] kindness,go [180] neighbours,during [180] during,coronavirus [180] coronavirus,outbreak [173] becky,wass Top Word Pairs in Tweet in G10:
[140] fill,pop [138] neighbour's,letterbox [136] please,print [136] print,postcard [136] postcard,fill [136] simple,#viralkindness [134] pop,elderly [134] elderly,neighbour's [134] letterbox,simple [53] last,night Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: