The graph represents a network of 702 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, 05 October 2021 at 23:17 UTC.
The requested start date was Tuesday, 05 October 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 95-day, 21-hour, 26-minute period from Thursday, 01 July 2021 at 00:13 UTC to Monday, 04 October 2021 at 21:39 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 : 702
Unique Edges : 607
Edges With Duplicates : 1671
Total Edges : 2278
Number of Edge Types : 5
Retweet : 548
MentionsInRetweet : 760
Replies to : 61
Mentions : 483
Tweet : 426
Self-Loops : 428
Reciprocated Vertex Pair Ratio : 0.0949074074074074
Reciprocated Edge Ratio : 0.173361522198731
Connected Components : 117
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 436
Maximum Edges in a Connected Component : 1860
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.824244
Graph Density : 0.00192236568841419
Modularity : 0.34667
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 702 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, 05 October 2021 at 23:17 UTC.
The requested start date was Tuesday, 05 October 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 95-day, 21-hour, 26-minute period from Thursday, 01 July 2021 at 00:13 UTC to Monday, 04 October 2021 at 21:39 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:
[206] health,care [144] medi,cal [68] learn,more [64] california,health [56] mental,health [55] covid,19 [46] care,foundation [40] behavioral,health [36] safety,net [34] low,incomes Top Word Pairs in Tweet in G1:
[137] health,care [92] medi,cal [52] learn,more [41] mental,health [39] covid,19 [34] behavioral,health [27] california,health [22] low,incomes [22] cal,enrollees [19] californians,low Top Word Pairs in Tweet in G2:
[17] california,health [16] health,care [15] care,foundation [5] medi,cal [5] health,insurance [5] substance,use [4] ø,ø [4] covid,19 [4] mental,illness [4] illness,substance 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:
[14] lil,bevs [12] 25,proceeds [8] basically,buy [8] buy,lil [8] bevs,25 [8] proceeds,go [8] go,chcf_inc [8] chcf_inc,ll [8] ll,whatever [8] whatever,buyers Top Word Pairs in Tweet in G5:
[32] medi,cal [16] health,care [11] learn,more [11] managed,care [10] cal,managed [9] read,more [8] mental,illness [7] personal,stories [7] stories,people [7] people,dual Top Word Pairs in Tweet in G6:
[7] join,health_affairs [7] health_affairs,panel [7] panel,07 [7] 07,20 [7] 20,30pm [7] 30pm,uclafsph's [7] uclafsph's,arturo [7] arturo,vargas [7] vargas,brandyjlipton [6] health,july Top Word Pairs in Tweet in G7:
[15] health,care [14] safety,net [11] 30,webinar [9] chcfnews,chcf [9] chcf,proud [9] proud,support [9] support,conversation [9] conversation,conversación [9] partnership,calfund [9] calfund,calendow Top Word Pairs in Tweet in G8:
[11] health,human [11] human,services [8] change,lives [8] lives,better [8] better,empowering [8] empowering,californians [8] californians,health [8] services,providers [8] providers,care [6] chhsagency,change Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[3] learn,more [3] good,news [3] historic,rittenhouse [3] rittenhouse,town [2] philadelphia's,single [2] single,use [2] use,plastic [2] plastic,bag [2] bag,ban [2] ban,goes Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: