The graph represents a network of 2,944 Twitter users whose recent tweets contained "#WashToCare", 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 Wednesday, 01 April 2020 at 15:49 UTC.
The tweets in the network were tweeted over the 1-day, 19-hour, 2-minute period from Monday, 30 March 2020 at 20:11 UTC to Wednesday, 01 April 2020 at 15:14 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 : 2944
Unique Edges : 3854
Edges With Duplicates : 427
Total Edges : 4281
Number of Edge Types : 5
Retweet : 2302
Tweet : 802
Mentions : 385
MentionsInRetweet : 586
Replies to : 206
Self-Loops : 830
Reciprocated Vertex Pair Ratio : 0.00393581592491674
Reciprocated Edge Ratio : 0.00784077201447527
Connected Components : 631
Single-Vertex Connected Components : 490
Maximum Vertices in a Connected Component : 1926
Maximum Edges in a Connected Component : 2988
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.853537
Graph Density : 0.000382724667228058
Modularity : 0.646911
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 2,944 Twitter users whose recent tweets contained "#WashToCare", 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 Wednesday, 01 April 2020 at 15:49 UTC.
The tweets in the network were tweeted over the 1-day, 19-hour, 2-minute period from Monday, 30 March 2020 at 20:11 UTC to Wednesday, 01 April 2020 at 15:14 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 : #WashToCare
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:
[330] wash,hands [287] #washtocare,#washyourhands [197] loved,ones [188] healthcare,workers [180] sure,needs [180] needs,hear [180] hear,care [180] care,family [180] family,society [180] society,colleagues Top Word Pairs in Tweet in G1:
[105] unilever,owns [105] owns,dove [105] dove,donated [105] donated,12 [105] 12,million [105] day,service [104] million,product [104] product,held [104] held,day [104] service,very Top Word Pairs in Tweet in G2:
[38] #washtocare,#covid19 [36] wash,hands [25] #washtocare,#washyourhands [16] washing,hands [12] hands,#washtocare [11] #washyourhands,#washtocare [10] #washtocare,#tuesdaythoughts [10] stay,home [9] #washtocare,#coronavirus [9] #stayhome,#washtocare Top Word Pairs in Tweet in G3:
[93] #washtocare,#covid19 [92] found,somewhere [92] somewhere,#butstaysafe [92] #butstaysafe,#washtocare [92] #covid19,#erandam [90] #washtocare,#washyourhands [81] wash,hands [57] hands,#washtocare [49] tuesday,mood [49] mood,#togetherwecan Top Word Pairs in Tweet in G4:
[123] sure,needs [123] needs,hear [123] hear,care [123] care,family [123] family,society [123] society,colleagues [123] colleagues,loved [123] loved,ones [123] ones,well [123] well,being Top Word Pairs in Tweet in G5:
[117] take,shower [117] shower,#washtocare [117] #washtocare,#lol [13] #washtocare,forget [13] forget,face [10] #washtocare,#covid19 [8] found,somewhere [8] somewhere,#butstaysafe [8] #butstaysafe,#washtocare [8] #covid19,#erandam Top Word Pairs in Tweet in G6:
[116] wash,hands [114] #washtocare,#washyourhands [113] helpful,tutorial [113] tutorial,wash [113] hands,properly [113] properly,steps [113] steps,courtesy [113] courtesy,made [113] made,four [113] four,year Top Word Pairs in Tweet in G7:
[76] #washtocare,#washtocare [15] #washtocare,#washyourhands [11] #washyourhands,#washtocare [10] wash,hands [8] hand,washing [8] washing,hands [7] #trumpvirus,#trumpgenocide [7] #voteblue,#bidenwarren2020 [6] stay,safe [5] one,foundations Top Word Pairs in Tweet in G8:
[12] #ronnacorona,#ronnacorona [3] #washtocare,#washyourhands [2] re,together [2] together,wash [2] wash,hands [2] hands,stay [2] stay,healthy [2] healthy,realdonaldtrump [2] realdonaldtrump,#covid19 [2] #covid19,#healthy Top Word Pairs in Tweet in G9:
[12] loved,ones [11] #washtocare,protect [11] protect,myself [11] myself,loved [11] ones,community [11] community,check [11] check,cdcgov [11] cdcgov,tips [11] tips,keep [11] keep,hands Top Word Pairs in Tweet in G10:
[30] blowing,smoke [29] tape,dont [29] dont,vape [29] vape,blowing [29] smoke,hazardous [29] hazardous,health [29] health,#washtocare [2] wash,hands [2] hands,reading [2] reading,numbers Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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 G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: