The graph represents a network of 753 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, 07 September 2021 at 23:17 UTC.
The requested start date was Tuesday, 07 September 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 97-day, 8-hour, 51-minute period from Tuesday, 01 June 2021 at 15:00 UTC to Monday, 06 September 2021 at 23:52 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 : 753
Unique Edges : 668
Edges With Duplicates : 1999
Total Edges : 2667
Number of Edge Types : 5
Mentions : 522
Retweet : 687
MentionsInRetweet : 953
Tweet : 448
Replies to : 57
Self-Loops : 449
Reciprocated Vertex Pair Ratio : 0.0926485397784491
Reciprocated Edge Ratio : 0.169585253456221
Connected Components : 112
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 472
Maximum Edges in a Connected Component : 2258
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.326159
Graph Density : 0.00191609448729903
Modularity : 0.326524
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 753 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, 07 September 2021 at 23:17 UTC.
The requested start date was Tuesday, 07 September 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 97-day, 8-hour, 51-minute period from Tuesday, 01 June 2021 at 15:00 UTC to Monday, 06 September 2021 at 23:52 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:
[265] health,care [180] health,equity [123] medi,cal [81] learn,more [79] covid,19 [79] bipoc,leaders [75] emerging,bipoc [74] equity,fellowship [73] california,health [72] fellowship,program Top Word Pairs in Tweet in G1:
[207] health,care [112] medi,cal [102] health,equity [71] learn,more [60] mental,health [51] covid,19 [49] equity,fellowship [47] fellowship,program [44] managed,care [42] bipoc,leaders Top Word Pairs in Tweet in G2:
[17] health,care [14] california,health [11] care,foundation [7] health,equity [4] medi,cal [4] ø,ø [3] equity,fellowship [3] fellowship,program [3] ãƒ,ム[3] ù,ø Top Word Pairs in Tweet in G3:
[3] chcf_inc,alpfa [2] y'all,see [2] see,health4americas [2] health4americas,aapcidotorg [2] aapcidotorg,mobilecause [2] mobilecause,votesmart [2] votesmart,ab_charities [2] ab_charities,austinhumane [2] austinhumane,chcf_inc Top Word Pairs in Tweet in G4:
[15] early,literacy [7] child,care [7] path,equity [7] equity,begins [7] begins,early [7] literacy,learn [7] learn,chcf [7] chcf,nyc [7] nyc,council's [7] council's,early Top Word Pairs in Tweet in G5:
[14] health,july [9] immigrant,health [7] register,two [7] two,health_affairs [7] health_affairs,briefings [7] briefings,covering [7] covering,border [7] border,health [7] july,12 [7] 12,immigrant Top Word Pairs in Tweet in G6:
[27] health,equity [22] bipoc,leaders [21] emerging,bipoc [21] equity,california [21] catalysts,health [20] invite,emerging [20] leaders,become [20] become,catalysts [19] california,apply [17] srhernandezmd,invite Top Word Pairs in Tweet in G7:
[15] safety,net [11] 30,webinar [9] health,care [9] low,incomes [8] net,providers [8] health,centers [8] received,care [7] care,safety [7] telehealth,use [7] august,30 Top Word Pairs in Tweet in G8:
[22] ve,notified [22] incarcerated,persons [22] chcf,one [20] one,incarcerated [20] incarcerated,person [20] died,covid [19] notified,two [19] two,incarcerated [17] restore_cal,ve [16] persons,one Top Word Pairs in Tweet in G9:
[5] learn,more [4] saturday,june [2] #icymi,effect [2] effect,philly [2] philly,requires [2] requires,individuals [2] individuals,wear [2] wear,masks [2] masks,provide [2] provide,proof Top Word Pairs in Tweet in G10:
[8] 100,000 [5] past,14 [5] 14,days [4] cdcr,57 [4] 57,confirmed [4] confirmed,cases [4] cases,past [4] days,rate [4] rate,58 [4] 58,100 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G10:
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: