The graph represents a network of 5,733 Twitter users whose recent tweets contained "#DoctorsSpeakUp", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 02:41 UTC.
The tweets in the network were tweeted over the 2158-day, 7-hour, 35-minute period from Thursday, 16 March 2017 at 15:08 UTC to Saturday, 11 February 2023 at 22:43 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5733
Unique Edges : 4290
Edges With Duplicates : 7828
Total Edges : 12118
Number of Edge Types : 9
Retweet : 2734
MentionsInRetweet : 3417
Tweet : 1546
MentionsInQuote : 637
Replies to : 565
MentionsInReplyTo : 1328
Quote : 642
Mentions : 1222
MentionsInQuoteReply : 27
Self-Loops : 2008
Reciprocated Vertex Pair Ratio : 0.0154316026362321
Reciprocated Edge Ratio : 0.0303941744498971
Connected Components : 935
Single-Vertex Connected Components : 467
Maximum Vertices in a Connected Component : 3364
Maximum Edges in a Connected Component : 8355
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.741308
Graph Density : 0.000192230702648408
Modularity : 0.531825
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,733 Twitter users whose recent tweets contained "#DoctorsSpeakUp", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 02:41 UTC.
The tweets in the network were tweeted over the 2158-day, 7-hour, 35-minute period from Thursday, 16 March 2017 at 15:08 UTC to Saturday, 11 February 2023 at 22:43 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[622] med,school [620] never,seen [616] case,measles [616] measles,mumps [615] yrs,peds [615] epilepsy,training [615] yr,epilepsy [615] peds,neuro [615] seen,case [615] yrs,med Top Word Pairs in Tweet in G1:
[602] measles,mumps [601] training,never [601] case,measles [601] neuro,yr [601] mumps,rubella [601] epilepsy,training [601] seen,case [601] school,yrs [601] peds,neuro [601] yrs,peds Top Word Pairs in Tweet in G2:
[43] #doctorsspeakup,#covid19 [43] #covid19,#coronavirus [29] covid,19 [27] mask,work [26] ted,noel [26] #coronavirus,#fakenews [26] #convid,#faucithefraud [26] #masksdontwork,#herdimmunity [26] youtube,#masksoffamerica [26] #coronahoax,#convid Top Word Pairs in Tweet in G3:
[50] क,ल [42] र,न [39] र,क [38] न,क [37] क,टर [34] ल,क [34] ल,ए [33] #क,र [29] क,स [29] ड,क Top Word Pairs in Tweet in G4:
[16] #doctorsspeakup,#doctors [15] क,टर [15] #doctors,#doctorsspeakup [15] ड,क [13] #nurses,#doctorsspeakup [13] covid,19 [10] क,य [10] hospital,staff [10] #covid19,#coronavirus [9] #covid19,#doctorsspeakup Top Word Pairs in Tweet in G5:
[53] more,important [52] important,thank [52] battle,against [52] against,organized [52] bloomberg,spreading [52] spreading,word [52] organized,disinformation [52] disinformation,more [52] thank,bloomberg [51] zdoggmd,battle Top Word Pairs in Tweet in G6:
[24] #vaccineswork,#ivax2protect [23] anti,vaxxers [21] proving,really [21] vaxxers,proving [21] sick,#stopantivaxviolence [21] #ivax2protect,#covid19 [21] #stopantivaxviolence,#vaccineswork [21] really,people [21] people,sick [20] #covid19,#flattenth Top Word Pairs in Tweet in G7:
[14] childrenshd,#doctorsspeakup [12] policy,provide [12] ed,resident [12] resident,doctors [12] changes,policy [12] decades,changes [12] doctors,exploited [12] exploited,decades [12] wrote,ed [12] notyour28981739,#doctorsspeakup Top Word Pairs in Tweet in G8:
[54] positive,patient [54] quarantine,life [54] treated,#covid_19 [54] ppe,treated [54] without,ppe [54] #covid_19,positive [54] #coronavirustruth,#stayathomeandstaysafe [54] life,without [54] patient,#coronavirustruth [53] lavanyasharma05,quarantine Top Word Pairs in Tweet in G9:
[98] sells,protect [98] china,doesn [98] doesn,care [98] gowns,testing [98] testing,kits [98] protect,#nursescovid19 [98] masks,gowns [98] medicines,masks [98] kits,sells [98] quality,medicines Top Word Pairs in Tweet in G10:
[69] misinformation,online [69] antivaxxers,emailed [69] online,didn [69] emailed,employers [69] fire,countering [69] vaccine,misinformation [69] countering,vaccine [69] employers,asking [69] didn,work [69] asking,fire 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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