The graph represents a network of 39 Twitter users whose tweets in the requested range contained "#HealthXPh", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 07 December 2021 at 20:06 UTC.
The requested start date was Tuesday, 07 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 6.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 10-hour, 0-minute period from Friday, 03 December 2021 at 13:00 UTC to Monday, 06 December 2021 at 23:00 UTC.
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 : 46
Edges With Duplicates : 420
Total Edges : 466
Number of Edge Types : 5
Retweet : 61
MentionsInRetweet : 79
Mentions : 113
Replies to : 125
Tweet : 88
Self-Loops : 88
Reciprocated Vertex Pair Ratio : 0.37037037037037
Reciprocated Edge Ratio : 0.540540540540541
Connected Components : 6
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 34
Maximum Edges in a Connected Component : 461
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.093023
Graph Density : 0.0748987854251012
Modularity : 0.114354
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 39 Twitter users whose tweets in the requested range contained "#HealthXPh", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 07 December 2021 at 20:06 UTC.
The requested start date was Tuesday, 07 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 6.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 10-hour, 0-minute period from Friday, 03 December 2021 at 13:00 UTC to Monday, 06 December 2021 at 23:00 UTC.
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 : #HealthXPh
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:
[43] medical,errors [25] tweet,chat [18] #healthxph,tweet [15] helenvmadamba,endocrine_witch [12] errors,#healthxph [9] endocrine_witch,stephmiaco [8] #healthxph,featuring [8] encapedia,endocrine_witch [8] chat,here's [7] tonight,#healthxph Top Word Pairs in Tweet in G1:
[8] #healthxph,featuring [5] healthxph,dd_invest [4] heals,healer [3] #mondayblogs,#healthxph [3] #health,#healthxph [3] featuring,endocrine_witch [3] healthxph,tealfeed [2] healer,heals [2] healer,mental [2] mental,illness Top Word Pairs in Tweet in G2:
[18] medical,errors [11] helenvmadamba,endocrine_witch [8] errors,#healthxph [6] endocrine_witch,stephmiaco [5] encapedia,endocrine_witch [4] endocrine_witch,louierel [4] make,sure [4] sociojcleofasrn,endocrine_witch [4] endocrine_witch,hello [4] endocrine_witch,#healthxph Top Word Pairs in Tweet in G3:
[20] medical,errors [19] tweet,chat [15] #healthxph,tweet [8] chat,here's [5] errors,tonight [5] tonight,#healthxph [5] discussing,medical [3] #healthxph,err [3] err,human [3] human,forgive Top Word Pairs in Tweet in G4:
[5] medical,errors [3] totally,avoidable [3] error,committed [3] patient,doctor [3] doctor,relationship [2] t3,being [2] being,transparent [2] transparent,error [2] error,properly [2] properly,conveying Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
Top Tweeters in G5: