The graph represents a network of 54 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, 24 November 2020 at 18:22 UTC.
The requested start date was Tuesday, 24 November 2020 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 5-day, 5-hour, 31-minute period from Wednesday, 18 November 2020 at 03:02 UTC to Monday, 23 November 2020 at 08:33 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : 54
Unique Edges : 90
Edges With Duplicates : 510
Total Edges : 600
Number of Edge Types : 5
Mentions : 156
MentionsInRetweet : 109
Retweet : 76
Replies to : 148
Tweet : 111
Self-Loops : 112
Reciprocated Vertex Pair Ratio : 0.233082706766917
Reciprocated Edge Ratio : 0.378048780487805
Connected Components : 5
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 49
Maximum Edges in a Connected Component : 595
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.418605
Graph Density : 0.0573025856044724
Modularity : 0.123035
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 54 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, 24 November 2020 at 18:22 UTC.
The requested start date was Tuesday, 24 November 2020 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 5-day, 5-hour, 31-minute period from Wednesday, 18 November 2020 at 03:02 UTC to Monday, 23 November 2020 at 08:33 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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:
[61] social,media [48] #healthxph,#hcsmph2020 [29] media,research [22] #hcsmph2020,#healthxph [16] research,#healthxph [16] subatomicdoc,giasison [11] using,social [10] giasison,hi [9] giasison,t2 [9] jimlopez875,endocrine_witch Top Word Pairs in Tweet in G1:
[17] social,media [12] #hcsmph2020,#healthxph [7] #healthxph,#hcsmph2020 [6] stephmiaco,jmirpub [5] giasison,hi [5] subatomicdoc,giasison [5] quoting,tweets [5] endocrine_witch,stephmiaco [4] _eppacheco,endocrine_witch [4] giasison,t2 Top Word Pairs in Tweet in G2:
[15] social,media [9] media,research [7] #healthxph,#hcsmph2020 [6] #hcsmph2020,#healthxph [6] facebook,allows [5] allows,connect [5] connect,people [5] people,already [5] already,know [5] know,friends Top Word Pairs in Tweet in G3:
[14] social,media [10] media,research [7] using,social [5] today's,tweetchat [5] thank,those [5] research,#healthxph [4] november,21 [4] 21,pm [3] webinar,earlier [3] hi,welcome Top Word Pairs in Tweet in G4:
[33] #healthxph,#hcsmph2020 [15] social,media [7] media,research [7] jimlopez875,endocrine_witch [5] research,#healthxph [5] endocrine_witch,sociojcleofasrn [5] subatomicdoc,giasison [5] endocrine_witch,dost_pchrd [5] public,domain [4] #hcsmph2020,#healthxph Top Word Pairs in Tweet in G7:
[2] titasunshineph,#healthxph Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 Mentioned in G5:
Top Mentioned in G7:
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:
Top Tweeters in G7: