The graph represents a network of 30 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, 29 November 2021 at 01:13 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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 : 30
Unique Edges : 11
Edges With Duplicates : 38
Total Edges : 49
Number of Edge Types : 5
Retweet : 19
MentionsInRetweet : 23
Mentions : 4
Tweet : 2
Replies to : 1
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 6
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 13
Maximum Edges in a Connected Component : 25
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.491228
Graph Density : 0.032183908045977
Modularity : 0.502082
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 30 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, 29 November 2021 at 01:13 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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 [4] yrs,med Top Word Pairs in Tweet in G1:
[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 Top Word Pairs in Tweet in G2:
[4] yrs,med [4] med,school [4] school,yrs [4] yrs,peds [4] peds,neuro [4] neuro,yr [4] yr,epilepsy [4] epilepsy,training [4] training,never [4] never,seen Top Word Pairs in Tweet in G3:
[2] drhoenderkamp,pixieann58 [2] pixieann58,true [2] true,power [2] power,people [2] people,greater [2] greater,people [2] people,power [2] power,#holdtheline Top Word Pairs in Tweet in G4:
[2] #doctorsspeakup,lowered [2] lowered,probability [2] probability,pregnancy [2] pregnancy,females [2] females,usa [2] usa,aged [2] aged,25 [2] 25,29 [2] 29,received [2] received,human Top Word Pairs in Tweet in G5:
[2] ilads_lyme,supposed [2] supposed,patients [2] patients,side [2] side,won [2] won,take [2] take,establishment [2] establishment,two [2] two,sides [2] sides,symbionts Top Word Pairs in Tweet in G6:
[2] dr,matt [2] matt,morgan [2] morgan,uhwcriticalcare [2] uhwcriticalcare,one [2] one,many [2] many,good [2] good,guys [2] guys,stay [2] stay,safe [2] safe,#doctorsspeakup Top Replied-To in Entire Graph:
Top Replied-To in G3:
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: