The graph represents a network of 17,724 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 Friday, 31 July 2020 at 19:39 UTC.
The tweets in the network were tweeted over the 1-day, 13-hour, 8-minute period from Thursday, 30 July 2020 at 05:34 UTC to Friday, 31 July 2020 at 18:43 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 : 17724
Unique Edges : 27257
Edges With Duplicates : 2176
Total Edges : 29433
Number of Edge Types : 5
Tweet : 2131
Retweet : 14382
MentionsInRetweet : 8098
Replies to : 2053
Mentions : 2769
Self-Loops : 2287
Reciprocated Vertex Pair Ratio : 0.00362249761677788
Reciprocated Edge Ratio : 0.00721884498480243
Connected Components : 1781
Single-Vertex Connected Components : 1123
Maximum Vertices in a Connected Component : 13398
Maximum Edges in a Connected Component : 24667
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.262454
Graph Density : 8.3788980483318E-05
Modularity : 0.74705
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 17,724 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 Friday, 31 July 2020 at 19:39 UTC.
The tweets in the network were tweeted over the 1-day, 13-hour, 8-minute period from Thursday, 30 July 2020 at 05:34 UTC to Friday, 31 July 2020 at 18:43 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:
[13512] frontline,doctors [3273] america,frontline [3076] press,conference [2663] big,tech [2019] treatment,covid [1886] doctors,censored [1867] censored,sharing [1865] america's,frontline [1864] doing,same [1864] until,people Top Word Pairs in Tweet in G1:
[2919] frontline,doctors [1171] america,frontline [719] doctors,founder [718] founder,drsimonegold [494] drsimonegold,responds [494] responds,mark [494] mark,zuckerberg [494] zuckerberg,facebook [494] facebook,purged [494] purged,coronavirus Top Word Pairs in Tweet in G2:
[1397] frontline,doctors [691] doctors,frontline [685] know,talking [681] fauci,essentially [681] essentially,hospital [681] hospital,administrator [681] administrator,telling [681] telling,doctors [681] frontline,know [681] talking,realdonaldtrump Top Word Pairs in Tweet in G3:
[1869] frontline,doctors [542] over,frontline [402] breitbart,news [398] news,breitbartnews [398] breitbartnews,still [398] still,suspended [398] suspended,twitter [398] twitter,over [398] doctors,coverage [397] press,conference Top Word Pairs in Tweet in G4:
[1763] frontline,doctors [1708] press,conference [1703] big,tech [1701] doctors,censored [1701] censored,sharing [1701] sharing,experiences [1701] experiences,#hydroxycholoroquine [1701] #hydroxycholoroquine,treatment [1701] treatment,covid [1701] covid,doing Top Word Pairs in Tweet in G5:
[853] frontline,doctors [243] america's,frontline [147] america,frontline [137] big,tech [120] 'america's,frontline [103] agree,disagree [91] doctors,summit [90] covid,19 [86] tech,deciding [84] disagree,'america's Top Word Pairs in Tweet in G6:
[581] frontline,doctors [517] republicans,accusing [517] accusing,frontline [517] doctors,mislabeling [517] mislabeling,death [517] death,certificates [517] certificates,more [517] more,covid [517] covid,money [517] money,guys Top Word Pairs in Tweet in G7:
[37] frontline,doctors [14] america's,frontline [11] big,tech [11] facebook,twitter [11] twitter,youtube [10] physician,behind [10] fired,warns [10] warns,attackers [10] attackers,hired [10] hired,attorney Top Word Pairs in Tweet in G8:
[440] frontline,doctors [322] big,techs [171] same,guy [171] guy,claims [171] claims,face [171] face,masks [171] masks,effective [171] effective,preventing [171] preventing,spread [171] spread,coronavirus Top Word Pairs in Tweet in G9:
[351] came,wish [351] wish,everyone [351] everyone,eid [351] eid,mubarak [351] mubarak,see [351] see,re [351] re,getting [351] getting,blamed [351] blamed,lockdown [351] lockdown,northofeng Top Word Pairs in Tweet in G10:
[283] frontline,doctors [273] biden,calls [273] absolute,disgrace [258] america,frontline [256] calls,america [256] doctors,absolute [256] disgrace,fair [256] fair,doesn [256] doesn,know [256] know,#whitecoatsummit Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: