The graph represents a network of 45 Twitter users whose tweets in the requested range contained "#DoctorsSpeakUp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 October 2021 at 00:13 UTC.
The requested start date was Monday, 11 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
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 : 45
Unique Edges : 6
Edges With Duplicates : 78
Total Edges : 84
Number of Edge Types : 3
Retweet : 39
MentionsInRetweet : 39
Tweet : 6
Self-Loops : 6
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 6
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 19
Maximum Edges in a Connected Component : 37
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.699463
Graph Density : 0.0196969696969697
Modularity : 0.426942
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 45 Twitter users whose tweets in the requested range contained "#DoctorsSpeakUp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 October 2021 at 00:13 UTC.
The requested start date was Monday, 11 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
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 : #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:
[19] #cdc,vaccine [19] vaccine,schedule [19] schedule,1960s [19] 1960s,doses [19] doses,1980s [19] 1980s,24 [19] 24,doses [19] doses,69 [19] 69,72 [19] 72,doses Top Word Pairs in Tweet in G1:
[19] #cdc,vaccine [19] vaccine,schedule [19] schedule,1960s [19] 1960s,doses [19] doses,1980s [19] 1980s,24 [19] 24,doses [19] doses,69 [19] 69,72 [19] 72,doses Top Word Pairs in Tweet in G2:
[10] #doctorsspeakup,bc [10] bc,paid [10] paid,corrupt [10] corrupt,industry [10] industry,trust [10] trust,products [10] products,promoting [10] promoting,safe [9] drtessat,#doctorsspeakup Top Word Pairs in Tweet in G3:
[9] yrs,med [9] med,school [9] school,yrs [9] yrs,peds [9] peds,neuro [9] neuro,yr [9] yr,epilepsy [9] epilepsy,training [9] training,never [9] never,seen Top Word Pairs in Tweet in G4:
[3] dr,stephen [3] stephen,evans [3] evans,professor [3] professor,pharmacoepidemiology [3] pharmacoepidemiology,seems [3] seems,adjuvants [3] adjuvants,multiply [3] multiply,reactogenicity [3] reactogenicity,many [2] nikkinovax,dr Top Word Pairs in Tweet in G5:
[3] #doctorsspeakup,#vaccines [2] tweet,tweet [2] tweet,day [2] day,long [2] long,#doctorsspeakup [2] #vaccines,harm [2] harm,kill [2] kill,children Top Word Pairs in Tweet in G6:
[2] #doctorsspeakup,make [2] make,treatment [2] treatment,decisions [2] decisions,based [2] based,outcomes [2] outcomes,instead [2] instead,politics [2] politics,#covid19 [2] #covid19,#coronavirus 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 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: