The graph represents a network of 47 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, 23 February 2021 at 17:59 UTC.
The requested start date was Tuesday, 23 February 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 5-day, 17-hour, 58-minute period from Wednesday, 17 February 2021 at 02:29 UTC to Monday, 22 February 2021 at 20:27 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 : 47
Unique Edges : 74
Edges With Duplicates : 336
Total Edges : 410
Number of Edge Types : 5
Retweet : 45
MentionsInRetweet : 51
Replies to : 153
Mentions : 90
Tweet : 71
Self-Loops : 72
Reciprocated Vertex Pair Ratio : 0.397849462365591
Reciprocated Edge Ratio : 0.569230769230769
Connected Components : 7
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 32
Maximum Edges in a Connected Component : 361
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.018639
Graph Density : 0.0601295097132285
Modularity : 0.136988
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 47 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, 23 February 2021 at 17:59 UTC.
The requested start date was Tuesday, 23 February 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 5-day, 17-hour, 58-minute period from Wednesday, 17 February 2021 at 02:29 UTC to Monday, 22 February 2021 at 20:27 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:
[20] men,today [20] today,part [20] part,#healthpolicyvalentines [20] #healthpolicyvalentines,#healthcare [20] #healthcare,#healthyfood [20] #healthyfood,#healthyeating [12] haha,#healthxph [11] #healthyeating,#healthxph [11] #healthxph,#healthequity [11] #healthequity,#ehealth Top Word Pairs in Tweet in G1:
[5] week,#healthxph [5] haha,#healthxph [4] endocrine_witch,barbieg_md [3] saturday,#twitterchat [3] #twitterchat,list [3] list,#edchateu [3] #edchateu,7am [3] 7am,#satchat [3] #satchat,30am [3] 30am,#healthxph Top Word Pairs in Tweet in G2:
[7] haha,#healthxph [4] doc,steph [3] stephmiaco,endocrine_witch [3] pre,pandemic [3] endocrine_witch,thank [3] good,evening [3] looking,forward [2] thanks,doc [2] things,need [2] need,#healthxph Top Word Pairs in Tweet in G3:
[5] stephmiaco,barbieg_md [3] rheumarhyme,learned [3] learned,scanxiety [3] scanxiety,giasison [3] giasison,learned [3] learned,twitter [3] twitter,2014 [3] #healthxph,tweet [3] tweet,chat [3] rheumarhyme,aniniput_ Top Word Pairs in Tweet in G4:
[4] 12,foods [4] foods,strengthen [4] strengthen,immune [4] immune,system [4] system,#health [4] #health,#healthxph [4] #healthxph,#food [4] #food,#healthcare [4] #healthcare,#fitness [3] qh_dkl,12 Top Word Pairs in Tweet in G5:
[3] stephmiaco,endocrine_witch [2] shoveling,snow [2] endocrine_witch,thanks [2] take,myself [2] myself,stroll [2] stroll,watch [2] watch,funny [2] funny,videos [2] videos,youtube [2] youtube,give Top Word Pairs in Tweet in G6:
[3] t2,apart [3] apart,urgent [3] urgent,important [3] important,grid [3] grid,others [3] others,sharing [3] sharing,good [3] good,compare [3] compare,ranking [3] ranking,urgency Top Word Pairs in Tweet in G7:
[20] men,today [20] today,part [20] part,#healthpolicyvalentines [20] #healthpolicyvalentines,#healthcare [20] #healthcare,#healthyfood [20] #healthyfood,#healthyeating [11] #healthyeating,#healthxph [11] #healthxph,#healthequity [11] #healthequity,#ehealth [11] #ehealth,#healthsummit21 Top Word Pairs in Tweet in G8:
[7] make,saving [7] saving,avenue [7] avenue,one [7] one,health [7] health,insurance [7] insurance,#insurance [7] #insurance,#healthylifestyle [7] #healthylifestyle,#monysaving [7] #monysaving,#health [7] #health,#healthtech Top Word Pairs in Tweet in G9:
[2] #healthxph,#lgbtresearchph Top Word Pairs in Tweet in G10:
[3] nitric,oxide [2] vigrx,nitric 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 G5:
Top Replied-To in G8:
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 Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: