The graph represents a network of 613 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 Thursday, 19 August 2021 at 23:17 UTC.
The requested start date was Tuesday, 17 August 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 76-day, 8-hour, 51-minute period from Tuesday, 01 June 2021 at 15:00 UTC to Monday, 16 August 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 : 613
Unique Edges : 532
Edges With Duplicates : 1587
Total Edges : 2119
Number of Edge Types : 5
Retweet : 550
MentionsInRetweet : 782
Mentions : 404
Tweet : 337
Replies to : 46
Self-Loops : 337
Reciprocated Vertex Pair Ratio : 0.0988735919899875
Reciprocated Edge Ratio : 0.17995444191344
Connected Components : 94
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 391
Maximum Edges in a Connected Component : 1815
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.266806
Graph Density : 0.00234035974367996
Modularity : 0.329832
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 613 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 Thursday, 19 August 2021 at 23:17 UTC.
The requested start date was Tuesday, 17 August 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 76-day, 8-hour, 51-minute period from Tuesday, 01 June 2021 at 15:00 UTC to Monday, 16 August 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:
[216] health,care [178] health,equity [86] medi,cal [79] bipoc,leaders [75] emerging,bipoc [74] equity,fellowship [72] fellowship,program [60] covid,19 [59] learn,more [57] california,health Top Word Pairs in Tweet in G1:
[123] health,care [91] health,equity [49] medi,cal [47] equity,fellowship [45] fellowship,program [39] low,incomes [39] learn,more [38] covid,19 [38] mental,health [36] bipoc,leaders Top Word Pairs in Tweet in G2:
[58] health,care [52] health,equity [34] bipoc,leaders [32] medi,cal [31] emerging,bipoc [26] conversation,conversación [25] equity,california [24] catalysts,health [23] cal,managed [23] managed,care Top Word Pairs in Tweet in G3:
[16] health,care [13] california,health [10] care,foundation [7] health,equity [4] ø,ø [3] equity,fellowship [3] fellowship,program [3] medi,cal [3] ãƒ,ム[3] ù,ø Top Word Pairs in Tweet in G4:
[15] early,literacy [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 [7] literacy,initiative 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:
[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 [2] chcf_inc,alpfa Top Word Pairs in Tweet in G7:
[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 G8:
[5] learn,more [4] saturday,june [2] fall,classes [2] classes,officially [2] officially,dropped [2] dropped,season [2] season,offering [2] offering,both [2] both,online [2] online,location Top Word Pairs in Tweet in G9:
[6] read,chcfnews [6] chcfnews,feat [6] feat,several [6] several,canp [6] canp,members [6] members,gaps [6] gaps,care [6] care,persist [6] persist,regulators [6] regulators,set Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: