The graph represents a network of 7,940 Twitter users whose recent tweets contained "#DoctorsSpeakUp", 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, 06 March 2020 at 23:46 UTC.
The tweets in the network were tweeted over the 21-hour, 41-minute period from Friday, 06 March 2020 at 01:35 UTC to Friday, 06 March 2020 at 23:16 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 : 7962
Unique Edges : 18555
Edges With Duplicates : 16996
Total Edges : 35551
Number of Edge Types : 5
Replies to : 1438
Mentions : 11869
Retweet : 14213
MentionsInRetweet : 5996
Tweet : 2035
Self-Loops : 2071
Reciprocated Vertex Pair Ratio : 0.0212414444182204
Reciprocated Edge Ratio : 0.0415992604575919
Connected Components : 196
Single-Vertex Connected Components : 126
Maximum Vertices in a Connected Component : 7598
Maximum Edges in a Connected Component : 35093
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.815178
Graph Density : 0.000341324216797783
Modularity : 0.428845
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 7,940 Twitter users whose recent tweets contained "#DoctorsSpeakUp", 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, 06 March 2020 at 23:46 UTC.
The tweets in the network were tweeted over the 21-hour, 41-minute period from Friday, 06 March 2020 at 01:35 UTC to Friday, 06 March 2020 at 23:16 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 : #DoctorsSpeakUp
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1830] med,school [1797] #vaccineswork,#doctorsspeakup [1541] measles,mumps [1530] never,seen [1519] seen,case [1518] case,measles [1518] mumps,rubella [1515] rubella,diphtheria [1515] tetanus,rabies [1515] bc,#vaccineswork Top Word Pairs in Tweet in G1:
[426] #doctorsspeakup,#vaccines [416] #doctorsspeakup,admit [411] doctors,speak [409] flu,shot [387] vaccines,#doctorsspeakup [371] #doctorsspeakup,#doctorsspeakout [308] knew,knew [273] #doctorsspeakup,vaccine [270] wouldn,#doctorsspeakup [269] #vaccines,harm Top Word Pairs in Tweet in G2:
[1421] #vaccineswork,#doctorsspeakup [1416] never,seen [1413] seen,case [1411] med,school [1411] case,measles [1411] measles,mumps [1408] yrs,med [1408] school,yrs [1408] yrs,peds [1408] peds,neuro Top Word Pairs in Tweet in G3:
[320] #doctorsspeakup,#vaccinessavelives [267] #vaccinessavelives,#doctorsspeakup [250] #vaccineswork,#vaccinessavelives [231] #vaccineswork,#doctorsspeakup [227] drtoddwo,zdoggmd [208] anti,vaxxers [187] #doctorsspeakup,#vaccineswork [180] #vaccinessavelives,#vaccineswork [166] zdoggmd,shotsheard [163] shotsheard,nicoleb_md Top Word Pairs in Tweet in G4:
[500] knew,knew [258] flu,shot [250] father,hospitalized [250] hospitalized,week [250] week,flu [250] shot,robustly [250] robustly,healthy [250] healthy,before [250] before,docs [250] docs,knew Top Word Pairs in Tweet in G5:
[402] believe,vaccines [206] vaccines,safe [204] phd,md [204] md,believe [204] greatest,human [204] human,inventions [204] contributing,massively [204] massively,human [204] human,wellbeing [204] don,believe Top Word Pairs in Tweet in G6:
[262] med,school [236] cause,autism [235] vaccines,cause [234] autoimmune,disorders [233] cause,autoimmune [233] effective,way [233] way,prevent [232] autism,cause [232] disorders,contain [232] contain,toxins Top Word Pairs in Tweet in G7:
[168] vaccines,safe [166] safe,vaccines [166] effective,vaccines [165] doctor,speaking [165] vaccines,effective [164] understandably,focused [164] focused,#coronavirus [164] #coronavirus,doctor [164] speaking,remind [164] remind,vaccines Top Word Pairs in Tweet in G8:
[133] #doctorsspeakup,#vaccineswork [131] measles,hib [130] covid19,think [130] think,scary [130] scary,gives [130] gives,hint [130] hint,happen [130] happen,vaccination [130] vaccination,rates [130] rates,fell Top Word Pairs in Tweet in G9:
[35] go,work [18] know,world [18] world,right [18] right,without [18] without,measles [18] measles,vaccine [18] vaccine,compare [18] compare,contagious [18] contagious,measles [18] measles,compare Top Word Pairs in Tweet in G10:
[366] years,old [366] fatality,rate [244] old,fatality [122] coronavirus,flu [122] flu,#doctorsspeakup [122] #doctorsspeakup,80 [122] 80,years [122] old,14 [122] 14,fatality [122] rate,70 Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: