The graph represents a network of 348 Twitter users whose tweets in the requested range contained "#TheFightIsInUs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 December 2020 at 01:31 UTC.
The requested start date was Wednesday, 02 December 2020 at 01:01 UTC and the maximum number of days (going backward) was 30.
The maximum number of tweets collected was 15,000.
The tweets in the network were tweeted over the 28-day, 1-hour, 9-minute period from Monday, 02 November 2020 at 17:00 UTC to Monday, 30 November 2020 at 18:09 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 : 348
Unique Edges : 71
Edges With Duplicates : 817
Total Edges : 888
Number of Edge Types : 5
Retweet : 367
MentionsInRetweet : 423
Tweet : 81
Mentions : 12
Replies to : 5
Self-Loops : 81
Reciprocated Vertex Pair Ratio : 0.00255754475703325
Reciprocated Edge Ratio : 0.00510204081632653
Connected Components : 11
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 326
Maximum Edges in a Connected Component : 846
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.341044
Graph Density : 0.00324621550896022
Modularity : 0.304812
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 348 Twitter users whose tweets in the requested range contained "#TheFightIsInUs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 December 2020 at 01:31 UTC.
The requested start date was Wednesday, 02 December 2020 at 01:01 UTC and the maximum number of days (going backward) was 30.
The maximum number of tweets collected was 15,000.
The tweets in the network were tweeted over the 28-day, 1-hour, 9-minute period from Monday, 02 November 2020 at 17:00 UTC to Monday, 30 November 2020 at 18:09 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 : #TheFightIsInUs
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:
[283] recovered,#covid19 [234] learn,more [223] #covid19,learn [222] dr,eliseo [222] stable,important [222] important,message [222] message,anyone [222] anyone,recovered [218] eliseo,pérez [218] pérez,stable Top Word Pairs in Tweet in G1:
[227] learn,more [226] recovered,#covid19 [217] #covid19,learn [216] dr,eliseo [216] stable,important [216] important,message [216] message,anyone [216] anyone,recovered [214] eliseo,pérez [214] pérez,stable Top Word Pairs in Tweet in G2:
[29] recovered,#covid__19 [29] #covid__19,please [29] please,listen [29] listen,message [29] message,learn [29] learn,help [29] help,others [28] surgeon_general,recovered [28] others,#thefightisin [13] recovered,#covid19 Top Word Pairs in Tweet in G3:
[34] recovered,#covid19 [33] re,one [33] one,thousands [33] thousands,recovered [33] hero,inside [33] inside,drdavidreich [24] thefightisinus,œif [24] œif,youâ [24] youâ,re [24] #covid19,thereâ Top Word Pairs in Tweet in G4:
[14] work,project [14] project,produces [13] helps,covid [13] covid,survivors [13] survivors,find [12] cleavon_md,work [12] produces,site [12] site,helps [12] find,donation [11] speedykgtb,cleavon_md Top Word Pairs in Tweet in G5:
[7] someone,know [7] know,covid [7] covid,19 [7] 19,survivor [4] needed,someone [4] survivor,know [4] know,help [4] help,someone [3] msbloodservices,needed [3] someone,thâ Top Word Pairs in Tweet in G6:
[9] covid,19 [4] find,more [4] #thefightisinus,#lasoluciónestáennosotros [4] #lasoluciónestáennosotros,#nh [4] #nh,#newhampshire [4] #savelives,#covid19 [4] #covid19,#operationlightspeed [4] donate,plasma [3] more,ed [3] ed,gr Top Word Pairs in Tweet in G7:
[4] ve,covid [4] covid,19 [4] 19,plasma [4] plasma,literally [4] literally,save [4] save,lives [4] lives,please [4] please,go [4] go,find [3] ryantedder,ve Top Word Pairs in Tweet in G8:
[2] spent,morning [2] morning,lifestreamblood [2] lifestreamblood,satomi [2] satomi,giving [2] giving,covid [2] covid,plasma [2] plasma,platelets [2] platelets,abodies [2] abodies,reduced Top Word Pairs in Tweet in G9:
[2] fully,recovered [2] recovered,covid [2] covid,19 [2] 19,marcus [2] marcus,smart [2] smart,donate [2] donate,plasma [2] plasma,plasma [2] plasma,donation [2] donation,save Top Word Pairs in Tweet in G10:
[2] convalescent,plasma [2] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G10:
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 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: