The graph represents a network of 669 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, 22 June 2021 at 22:43 UTC.
The requested start date was Tuesday, 22 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 81-day, 18-hour, 31-minute period from Thursday, 01 April 2021 at 04:51 UTC to Monday, 21 June 2021 at 23:23 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 : 669
Unique Edges : 506
Edges With Duplicates : 1672
Total Edges : 2178
Number of Edge Types : 5
Tweet : 377
Retweet : 595
MentionsInRetweet : 755
Mentions : 402
Replies to : 49
Self-Loops : 380
Reciprocated Vertex Pair Ratio : 0.0861850443599493
Reciprocated Edge Ratio : 0.158693115519253
Connected Components : 122
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 406
Maximum Edges in a Connected Component : 1711
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.407384
Graph Density : 0.00191768928510692
Modularity : 0.324574
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 669 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, 22 June 2021 at 22:43 UTC.
The requested start date was Tuesday, 22 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 81-day, 18-hour, 31-minute period from Thursday, 01 April 2021 at 04:51 UTC to Monday, 21 June 2021 at 23:23 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:
[284] health,care [191] health,equity [100] equity,fellowship [99] fellowship,program [97] covid,19 [75] medi,cal [72] mental,health [71] california,health [70] learn,more [64] chcf,health Top Word Pairs in Tweet in G1:
[156] health,care [97] health,equity [58] medi,cal [53] equity,fellowship [53] fellowship,program [51] mental,health [48] learn,more [46] covid,19 [38] bipoc,leaders [37] chcf,health Top Word Pairs in Tweet in G2:
[28] health,care [21] california,health [19] care,foundation [8] 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:
[28] health,equity [19] health,care [16] equity,fellowship [16] fellowship,program [13] looking,forward [13] forward,continued [13] continued,growth [13] growth,chcf [13] chcf,launches [13] launches,first 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:
[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 G6:
[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 G7:
[7] health,equity [6] covid,19 [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 [4] fertilityrn_phd's,beautiful Top Word Pairs in Tweet in G8:
[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 G9:
[42] health,care [21] care,affordability [19] 77,californians [19] californians,rank [19] rank,health [15] according,chcfnews [15] chcfnews,77 [12] care,costs [11] alone,worrying [11] worrying,health Top Word Pairs in Tweet in G10:
[10] nationally,more [10] people,delayed [10] delayed,skipped [10] skipped,care [10] care,worried [10] worried,exposure [10] exposure,#covid19 [7] more,one [7] one,three [7] three,people Top Replied-To in Entire Graph:
Top Replied-To in G4:
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 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: