The graph represents a network of 3,816 Twitter users whose recent tweets contained "Virus Plasma", 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, 31 May 2020 at 13:36 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 17-minute period from Saturday, 23 May 2020 at 02:12 UTC to Sunday, 31 May 2020 at 13:29 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 : 3816
Unique Edges : 4297
Edges With Duplicates : 364
Total Edges : 4661
Number of Edge Types : 5
Retweet : 2564
Tweet : 540
MentionsInRetweet : 748
Mentions : 493
Replies to : 316
Self-Loops : 554
Reciprocated Vertex Pair Ratio : 0.00404040404040404
Reciprocated Edge Ratio : 0.00804828973843058
Connected Components : 661
Single-Vertex Connected Components : 256
Maximum Vertices in a Connected Component : 783
Maximum Edges in a Connected Component : 1127
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.295848
Graph Density : 0.000273113688381128
Modularity : 0.873028
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,816 Twitter users whose recent tweets contained "Virus Plasma", 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, 31 May 2020 at 13:36 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 17-minute period from Saturday, 23 May 2020 at 02:12 UTC to Sunday, 31 May 2020 at 13:29 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 : Virus Plasma
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 G2:
[279] covid,19 [277] recovered,covid [277] convalescent,plasma [277] blood,plasma [199] corona,virus [199] plasma,recovered [199] 19,patients [199] donate,plasma [199] 19,virus [199] andrea,bocelli Top Word Pairs in Tweet in G3:
[103] plasma,transfusions [32] study,suggests [31] suggests,using [21] using,blood [20] blood,plasma [18] transfusions,recovered [15] recovered,patients [15] patients,improve [14] improve,#covid19 [14] #covid19,survival Top Word Pairs in Tweet in G4:
[205] plasma,iperimmune [204] ormai,chiaro [204] chiaro,anche [204] anche,#covid__19 [204] #covid__19,suo [204] suo,businnes [204] businnes,beneficio [204] beneficio,delle [204] delle,case [204] case,farmaceutiche Top Word Pairs in Tweet in G5:
[132] sos,paciente [131] paciente,recuperado [131] recuperado,corona [131] corona,virus [131] virus,doná [131] doná,sangre [131] sangre,comunícate [131] comunícate,cucaiba [131] cucaiba,08002220101 [131] 08002220101,buscan Top Word Pairs in Tweet in G6:
[115] using,molecular [115] molecular,dynamic [115] dynamic,simulations [115] simulations,study [115] study,shows [115] shows,#hydroxychloroquine [115] #hydroxychloroquine,#azithromycin [115] #azithromycin,act [115] act,synergy [115] synergy,prevent Top Word Pairs in Tweet in G7:
[120] corona,virus [120] please,spread [120] spread,word [120] word,plasma [120] plasma,positive [120] positive,blood [120] blood,required [120] required,cmh [120] cmh,peshawar [120] peshawar,mother Top Word Pairs in Tweet in G8:
[90] blood,plasma [86] against,virus [86] plasma,help [86] find,more [86] recovered,#covid19 [86] #covid19,consider [86] consider,donating [86] donating,blood [86] plasma,support [86] support,clinical Top Word Pairs in Tweet in G9:
[82] plasma,transfusions [82] transfusions,boost [82] boost,survival [67] survival,coronavirus [64] coronavirus,patients [64] patients,study [64] study,seguir [64] seguir,donando Top Word Pairs in Tweet in G10:
[81] 16,days [81] days,13 [81] 13,plasma [81] plasma,recipients [81] recipients,died [81] died,compared [81] compared,more [81] more,24 [] 24,those [] those,receive Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
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 G8:
Top Mentioned in G10:
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: