The graph represents a network of 39 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, 20 September 2021 at 00:13 UTC.
The requested start date was Monday, 20 September 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 : 39
Unique Edges : 4
Edges With Duplicates : 70
Total Edges : 74
Number of Edge Types : 3
Retweet : 35
MentionsInRetweet : 35
Tweet : 4
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 4
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 20
Maximum Edges in a Connected Component : 39
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.766193
Graph Density : 0.0236167341430499
Modularity : 0.391344
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 39 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, 20 September 2021 at 00:13 UTC.
The requested start date was Monday, 20 September 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:
[20] yrs,med [20] med,school [20] school,yrs [20] yrs,peds [20] peds,neuro [20] neuro,yr [20] yr,epilepsy [20] epilepsy,training [20] training,never [20] never,seen Top Word Pairs in Tweet in G1:
[20] yrs,med [20] med,school [20] school,yrs [20] yrs,peds [20] peds,neuro [20] neuro,yr [20] yr,epilepsy [20] epilepsy,training [20] training,never [20] never,seen Top Word Pairs in Tweet in G2:
[15] #doctorsspeakup,bc [15] bc,paid [15] paid,corrupt [15] corrupt,industry [15] industry,trust [15] trust,products [15] products,promoting [15] promoting,safe [14] drtessat,#doctorsspeakup Top Word Pairs in Tweet in G3:
[2] #doctorsspeakup,dr [2] dr,cammy [2] cammy,benton [2] benton,md [2] md,believes [2] believes,informed [2] informed,consent [2] consent,being [2] being,obtained [2] obtained,infant Top Word Pairs in Tweet in G4:
[2] patients,recovered [2] recovered,patients [2] patients,discharged [2] discharged,hospital [2] hospital,fully [2] fully,recovered [2] recovered,sharing [2] sharing,good [2] good,news 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: