The graph represents a network of 1,438 Twitter users whose tweets in the requested range contained "rwjf", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 23 February 2020 at 13:20 UTC.
The requested start date was Sunday, 23 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 17-hour, 48-minute period from Sunday, 09 February 2020 at 06:11 UTC to Sunday, 23 February 2020 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 : 1438
Unique Edges : 2106
Edges With Duplicates : 1140
Total Edges : 3246
Number of Edge Types : 4
MentionsInRetweet : 1358
Mentions : 1600
Tweet : 152
Replies to : 136
Self-Loops : 152
Reciprocated Vertex Pair Ratio : 0.0407455570004335
Reciprocated Edge Ratio : 0.0783007080383174
Connected Components : 88
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 1223
Maximum Edges in a Connected Component : 3027
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.343037
Graph Density : 0.00116192074548758
Modularity : 0.571555
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,438 Twitter users whose tweets in the requested range contained "rwjf", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 23 February 2020 at 13:20 UTC.
The requested start date was Sunday, 23 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 17-hour, 48-minute period from Sunday, 09 February 2020 at 06:11 UTC to Sunday, 23 February 2020 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 : rwjf
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:
[175] health,equity [66] health,care [56] residential,segregation [50] rwjf,bhpnetwork [49] join,rwjf [41] #affh,rule [40] rule,change [40] one,size [39] rwjf,one [39] size,fit Top Word Pairs in Tweet in G1:
[72] health,equity [38] one,size [38] size,fit [38] fit,especially [38] especially,health [37] rwjf,one [24] civic,engagement [24] rwjf,researchers [23] recent,rand [23] rand,study Top Word Pairs in Tweet in G2:
[62] health,equity [49] rwjf,bhpnetwork [44] join,rwjf [39] residential,segregation [34] impact,health [33] equity,#keephousingfair [33] segregation,impact [28] #keephousingfair,join [24] #affh,rule [24] fair,housing Top Word Pairs in Tweet in G3:
[22] leadership,development [21] advance,#cultureofhealth [20] building,community [20] community,making [20] making,connections [20] connections,advance [19] advance,equity [19] equity,build [19] build,#cultureofhealth [19] #cultureofhealth,field Top Word Pairs in Tweet in G4:
[13] #sakranhoax,rwjf [13] josephsakran,hopkinsmedicine [12] rwjf,josephsakran [7] rasacs,josephsakran [5] rwjf,hopkinsmedicine [5] josephsakran,thisisourlane [5] thisisourlane,jamcollsurg [5] thebretttracy,lilliankao1 [4] jamcollsurg,amcollsurgeons [4] amcollsurgeons,vnikolian Top Word Pairs in Tweet in G5:
[11] drrichbesser,rwjf [8] rwjf,committed [8] committed,identifying [8] identifying,reducing [8] reducing,health [8] health,inequities [8] inequities,result [8] result,income [8] income,inequality [7] health,equity Top Word Pairs in Tweet in G6:
[6] surgeons,general [6] general,#dementia [6] #dementia,top [6] top,#public [6] #public,health [6] health,crisis [6] crisis,#alzheimers [6] #alzheimers,publichealth [5] lead_coalition,surgeons [4] publichealth,rwjf Top Word Pairs in Tweet in G7:
[2] lisa02594983,mjmoneill [2] mjmoneill,pittamsharon [2] pittamsharon,corrina35038731 [2] corrina35038731,cathybarts1 [2] cathybarts1,lesley_clouter [2] lesley_clouter,angelaspaniak [2] angelaspaniak,parasjethwasurg Top Word Pairs in Tweet in G8:
[6] work,schedules [4] health,equity [4] unstable,work [4] schedules,associated [4] associated,poor [4] adults,children [3] neighborhoods,policies [3] policies,shape [3] shape,matter [3] poor,health Top Word Pairs in Tweet in G9:
[5] several,studies [5] studies,show [5] show,#medicaid [5] #medicaid,expansion [5] expansion,budget [5] budget,neutral [5] neutral,lead [5] lead,budget [5] budget,savings [5] savings,see Top Word Pairs in Tweet in G10:
[10] drrichbesser,rwjf [3] rwjf,meanwhile [3] meanwhile,np [3] np,lobby [3] lobby,continue [3] continue,fuel [3] fuel,nursing [3] nursing,shortage [3] shortage,pushing [3] pushing,nurses Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 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: