The graph represents a network of 707 Twitter users whose tweets in the requested range contained "CHCF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 June 2021 at 22:43 UTC.
The requested start date was Tuesday, 29 June 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 88-day, 19-hour, 8-minute period from Thursday, 01 April 2021 at 04:51 UTC to Tuesday, 29 June 2021 at 00:00 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 : 707
Unique Edges : 545
Edges With Duplicates : 1826
Total Edges : 2371
Number of Edge Types : 5
Mentions : 429
Retweet : 642
MentionsInRetweet : 833
Replies to : 54
Tweet : 413
Self-Loops : 416
Reciprocated Vertex Pair Ratio : 0.0859835100117786
Reciprocated Edge Ratio : 0.158351409978308
Connected Components : 132
Single-Vertex Connected Components : 78
Maximum Vertices in a Connected Component : 427
Maximum Edges in a Connected Component : 1886
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.32619
Graph Density : 0.00184716974327947
Modularity : 0.318124
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 707 Twitter users whose tweets in the requested range contained "CHCF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 June 2021 at 22:43 UTC.
The requested start date was Tuesday, 29 June 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 88-day, 19-hour, 8-minute period from Thursday, 01 April 2021 at 04:51 UTC to Tuesday, 29 June 2021 at 00:00 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 : CHCF
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:
[310] health,care [221] health,equity [111] equity,fellowship [110] fellowship,program [103] covid,19 [90] medi,cal [77] california,health [75] mental,health [75] learn,more [71] bipoc,leaders Top Word Pairs in Tweet in G1:
[149] health,care [105] health,equity [65] medi,cal [59] equity,fellowship [59] fellowship,program [50] covid,19 [48] learn,more [45] mental,health [40] bipoc,leaders [37] emerging,bipoc Top Word Pairs in Tweet in G2:
[28] health,care [21] california,health [19] care,foundation [9] health,equity [5] covid,19 [5] more,information [5] co,duadleaywz [4] nursing,homes [4] ending,phone [4] phone,visits Top Word Pairs in Tweet in G3:
[63] health,care [48] health,equity [26] equity,fellowship [26] fellowship,program [19] medi,cal [17] care,leadership [15] chcf,health [15] covid,19 [14] equity,california [14] leadership,program Top Word Pairs in Tweet in G4:
[9] child,care [9] social,services [6] chcf_inc,riversidelang [5] join,today [5] today,7pm [5] 7pm,hear [5] hear,chcf_inc [5] riversidelang,social [4] early,literacy [4] power,fund Top Word Pairs in Tweet in G5:
[49] health,care [21] care,affordability [19] health,equity [19] 77,californians [19] californians,rank [19] rank,health [15] according,chcfnews [15] chcfnews,77 [12] care,costs [11] affordability,top Top Word Pairs in Tweet in G6:
[7] health,equity [6] covid,19 [6] health,july [5] beautiful,birth [4] asianhealth818,aaciorg [4] love,heathergilligan's [4] heathergilligan's,latest [4] latest,#essentialcoverage [4] #essentialcoverage,spotlights [4] spotlights,fertilityrn_phd's Top Word Pairs in Tweet in G7:
[14] chestnut,hill [6] learn,more [5] scavenger,hunt [4] make,sure [4] still,time [4] time,sign [4] covid,19 [4] saturday,june [3] read,more [3] center,city Top Word Pairs in Tweet in G8:
[7] mental,health [7] covid,19 [6] social,media [5] young,people [5] digital,health [4] help,#csumbls350 [4] #csumbls350,#inquire [4] #inform,social [4] media,platforms [4] platforms,become Top Word Pairs in Tweet in G9:
[12] audio,#telehealth [12] #telehealth,visits [12] visits,crucial [12] crucial,maintaining [12] maintaining,#access [12] #access,many [12] many,patients [12] patients,see [12] see,recent [12] recent,papers Top Word Pairs in Tweet in G10:
[17] troche,plakac [17] plakac,chcf [16] kiznattseuwu,troche Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: