The graph represents a network of 95 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 Wednesday, 03 March 2021 at 17:59 UTC.
The requested start date was Tuesday, 02 March 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, 18-hour, 5-minute period from Wednesday, 24 February 2021 at 05:49 UTC to Monday, 01 March 2021 at 23:55 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 : 95
Unique Edges : 49
Edges With Duplicates : 437
Total Edges : 486
Number of Edge Types : 5
Mentions : 118
Tweet : 83
Retweet : 76
MentionsInRetweet : 83
Replies to : 126
Self-Loops : 83
Reciprocated Vertex Pair Ratio : 0.154362416107383
Reciprocated Edge Ratio : 0.267441860465116
Connected Components : 8
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 83
Maximum Edges in a Connected Component : 462
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.781842
Graph Density : 0.0192609182530795
Modularity : 0.240837
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 95 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 Wednesday, 03 March 2021 at 17:59 UTC.
The requested start date was Tuesday, 02 March 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, 18-hour, 5-minute period from Wednesday, 24 February 2021 at 05:49 UTC to Monday, 01 March 2021 at 23:55 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:
[35] world,needs [34] ikigai,consists [34] consists,love [34] love,doing [34] doing,good [34] good,world [34] needs,paid [34] paid,share [33] giasison,ikigai [11] giasison,healthxph Top Word Pairs in Tweet in G1:
[33] ikigai,consists [33] consists,love [33] love,doing [33] doing,good [33] good,world [33] world,needs [33] needs,paid [33] paid,share [32] giasison,ikigai [9] healthxph,#healthxph Top Word Pairs in Tweet in G2:
[9] endocrine_witch,acupuncturephil [9] giasison,healthxph [9] helenvmadamba,endocrine_witch [8] endocrine_witch,#healthxph [7] public,health [6] acupuncturephil,endocrine_witch [6] endocrine_witch,heyitsanjo [6] jetlax,helenvmadamba [5] dr_taiwenxiang,endocrine_witch [5] rxtepen,jetlax Top Word Pairs in Tweet in G3:
[3] t1,changed [3] changed,clearer [3] clearer,deeper [3] deeper,fact [3] fact,maybe [3] maybe,covid [3] covid,lockdowns [3] lockdowns,conveniently [3] conveniently,eliminated [3] eliminated,lot Top Word Pairs in Tweet in G4:
[8] one,#healthxph [8] #healthxph,tweetchats [8] tweetchats,nabibilaukan [8] nabibilaukan,ka [8] ka,tubig [8] tubig,ka [8] ka,sa [8] sa,tabi [8] tabi,maghahanap [8] maghahanap,ka Top Word Pairs in Tweet in G5:
[5] theskinsensei,answer [4] answer,always [4] always,ask [4] ask,yourself [4] yourself,love [4] love,question [4] question,never [4] never,failed [4] failed,always [4] always,directs Top Word Pairs in Tweet in G6:
[4] saturday,#twitterchat [4] #twitterchat,list [4] list,#edchateu [4] #edchateu,7am [4] 7am,#satchat [4] #satchat,30am [4] 30am,#healthxph [4] #healthxph,8am [4] 8am,#edugladiators [4] #edugladiators,9am Top Word Pairs in Tweet in G8:
[2] #healthxph,t3 [2] t3,twitter [2] twitter,gives [2] gives,ideas [2] ideas,disciplines [2] disciplines,far [2] far,removed [2] removed,mine [2] mine,follow [2] follow,academics Top Word Pairs in Tweet in G9:
[2] hi,everyone [2] everyone,jim [2] jim,working [2] working,#publichealth [2] #publichealth,#nutrition [2] #nutrition,stress [2] stress,recent [2] recent,days [2] days,giving [2] giving,chance Top Word Pairs in Tweet in G10:
[5] men,today [5] today,part [5] part,#healthpolicyvalentines [5] #healthpolicyvalentines,#healthcare [5] #healthcare,#healthyfood [5] #healthyfood,#healthyeating [3] #healthyeating,#healthxph [3] #healthxph,#healthequity [3] #healthequity,#ehealth [3] #ehealth,#healthsummit21 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: