The graph represents a network of 21 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, 04 April 2022 at 00:13 UTC.
The requested start date was Monday, 04 April 2022 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 : 21
Unique Edges : 7
Edges With Duplicates : 34
Total Edges : 41
Number of Edge Types : 4
MentionsInRetweet : 18
Mentions : 1
Retweet : 17
Tweet : 5
Self-Loops : 5
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 17
Maximum Edges in a Connected Component : 35
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.026936
Graph Density : 0.0452380952380952
Modularity : 0.386526
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 21 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, 04 April 2022 at 00:13 UTC.
The requested start date was Monday, 04 April 2022 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:
[13] #doctorsspeakup,bc [13] bc,paid [13] paid,corrupt [13] corrupt,industry [13] industry,trust [13] trust,products [13] products,promoting [13] promoting,safe [12] drtessat,#doctorsspeakup [2] normal,over Top Word Pairs in Tweet in G1:
[12] #doctorsspeakup,bc [12] bc,paid [12] paid,corrupt [12] corrupt,industry [12] industry,trust [12] trust,products [12] products,promoting [12] promoting,safe [11] drtessat,#doctorsspeakup Top Word Pairs in Tweet in G2:
[2] normal,over [2] over,reaction [2] reaction,opd [2] opd,practice [2] practice,response [2] response,please [2] please,somedocs [2] somedocs,#doctorsonsocialmedia [2] healthcare,workers [2] workers,continue Top Word Pairs in Tweet in G3:
[2] yrs,med [2] med,school [2] school,yrs [2] yrs,peds [2] peds,neuro [2] neuro,yr [2] yr,epilepsy [2] epilepsy,training [2] training,never [2] never,seen Top Word Pairs in Tweet in G4:
[2] #covid_19,#nurse [2] #nurse,#healthcare [2] #healthcare,#doctorsspeakup Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: