The graph represents a network of 17,594 Twitter users whose recent tweets contained "Frontline Doctors", 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, 05 August 2020 at 23:50 UTC.
The tweets in the network were tweeted over the 3-day, 9-hour, 43-minute period from Sunday, 02 August 2020 at 13:21 UTC to Wednesday, 05 August 2020 at 23:05 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 : 17594
Unique Edges : 21529
Edges With Duplicates : 2749
Total Edges : 24278
Number of Edge Types : 5
Mentions : 2304
Replies to : 1646
Retweet : 15927
MentionsInRetweet : 3410
Tweet : 991
Self-Loops : 1070
Reciprocated Vertex Pair Ratio : 0.00316765267620068
Reciprocated Edge Ratio : 0.0063153006733225
Connected Components : 940
Single-Vertex Connected Components : 446
Maximum Vertices in a Connected Component : 15206
Maximum Edges in a Connected Component : 21761
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.785351
Graph Density : 6.95729447562518E-05
Modularity : 0.730403
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 17,594 Twitter users whose recent tweets contained "Frontline Doctors", 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, 05 August 2020 at 23:50 UTC.
The tweets in the network were tweeted over the 3-day, 9-hour, 43-minute period from Sunday, 02 August 2020 at 13:21 UTC to Wednesday, 05 August 2020 at 23:05 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 : Frontline Doctors
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:
[12815] frontline,doctors [7749] america,frontline [6716] covid,19 [6168] 19,pandemic [6091] public's,support [6091] support,grow [6091] grow,organization [6091] organization,physicians [6091] physicians,make [6091] make,impactful Top Word Pairs in Tweet in G1:
[5328] asking,public's [5328] public's,support [5328] support,grow [5328] grow,organization [5328] organization,physicians [5328] physicians,make [5328] make,impactful [5328] impactful,statement [5328] statement,advocate [5328] advocate,solutions Top Word Pairs in Tweet in G2:
[6591] frontline,doctors [6560] america,frontline [3268] lot,people [3268] people,asked [3268] asked,paid [3268] paid,travel [3268] travel,dc [3268] dc,america [3268] doctors,conference [3268] conference,paid Top Word Pairs in Tweet in G3:
[631] frontline,doctors [179] america,frontline [179] america's,frontline [138] covid,19 [90] doctors,arizona's [90] arizona's,covid [90] covid,spike [90] spike,lie [90] lie,youtube [74] dr,stella Top Word Pairs in Tweet in G4:
[424] frontline,doctors [157] doctors,nurses [146] pres,realdonaldtrump [146] realdonaldtrump,fighting [146] fighting,hard [146] hard,fighting [146] fighting,smart [146] smart,great [146] great,bravery [146] bravery,doctors Top Word Pairs in Tweet in G5:
[652] frontline,doctors [571] doctors,being [571] talking,hcq [571] hcq,cure [569] reason,those [569] those,frontline [569] being,taken [569] taken,down [569] down,everyone [569] everyone,talking Top Word Pairs in Tweet in G6:
[782] frontline,doctors [550] thread,first [550] first,harm [550] harm,hydroxychloroquine [550] hydroxychloroquine,pak [550] pak,being [550] being,touted [550] touted,thousands [550] thousands,frontline [549] war,#covid19 Top Word Pairs in Tweet in G7:
[546] facebook,twitter [546] twitter,both [546] both,removing [546] removing,censoring [546] censoring,mention [546] mention,video [546] video,flagging [546] flagging,false [546] false,information [546] information,liberal Top Word Pairs in Tweet in G8:
[327] frontline,doctors [83] america's,frontline [81] america,frontline [42] covid,19 [25] 'america's,frontline [21] big,tech [20] social,media [20] press,conference [19] frontline,doctors' [18] dr,scott Top Word Pairs in Tweet in G9:
[493] frontline,doctors [334] social,media [318] twitter,locked [318] locked,prageru [318] prageru,account [318] account,posting [318] posting,videos [318] videos,frontline [318] doctors,educated [318] educated,opinion Top Word Pairs in Tweet in G10:
[318] frontline,doctors [105] americas,frontline [99] know,know [99] know,potus [99] potus,knows [99] knows,americas [99] doctors,know [99] know,spread [99] spread,far [99] far,wide 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 G9:
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 G6:
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: