The graph represents a network of 110 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 December 2022 at 19:45 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 1-hour, 7-minute period from Monday, 05 December 2022 at 10:58 UTC to Sunday, 18 December 2022 at 12:06 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 : 110
Unique Edges : 55
Edges With Duplicates : 181
Total Edges : 236
Number of Edge Types : 5
Retweet : 83
MentionsInRetweet : 106
Tweet : 23
Mentions : 23
Replies to : 1
Self-Loops : 23
Reciprocated Vertex Pair Ratio : 0.043859649122807
Reciprocated Edge Ratio : 0.0840336134453782
Connected Components : 21
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 23
Maximum Edges in a Connected Component : 63
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.992181
Graph Density : 0.00992493744787323
Modularity : 0.479765
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 110 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 December 2022 at 19:45 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 1-hour, 7-minute period from Monday, 05 December 2022 at 10:58 UTC to Sunday, 18 December 2022 at 12:06 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 : #data4good
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:
[20] public,finance [19] early,career [18] interested,public [17] fiscal,fellowship [16] fellowship,2023 [15] career,professional [15] student,early [15] professional,interested [15] announcing,fiscal [15] 2023,student Top Word Pairs in Tweet in G1:
[20] public,finance [19] early,career [18] interested,public [17] fiscal,fellowship [16] fellowship,2023 [15] professional,interested [15] career,professional [15] 2023,student [15] announcing,fiscal [15] student,early Top Word Pairs in Tweet in G2:
[11] support,lead [11] data,support [7] help,mission [7] small,team [7] good,join [7] data,skills [7] lead,help [7] join,small [7] use,data [7] team,data Top Word Pairs in Tweet in G3:
[5] #callforpapers,submissions [5] schedule,peer [5] peer,review [5] #shinyconf2023,schedule [5] curious,oversee [5] review,#callforpapers [5] oversee,#shinyconf2023 [4] danke,fã [4] fã,#engagement [4] #danke,alle Top Word Pairs in Tweet in G4:
[8] interactive,map [8] livestock,development [8] activities,check [8] check,sebi_livestock [8] map,livestock [8] development,activities [8] working,interactive [7] iati_aid,working [7] sebi_livestock,gues Top Word Pairs in Tweet in G5:
[4] thanks,llizabell [4] between,dr [4] smith,hunt_institute [4] llizabell,helping [4] amplify,conversation [4] helping,amplify [4] madeline,smith [4] dr,madeline [4] conversation,between [3] hunt_institute,educationâ Top Word Pairs in Tweet in G6:
[7] #data4good,program [5] announce,launch [5] program,helps [5] customers,notify [5] helps,law [5] law,enforcement [5] launch,#data4good [5] enforcement,customers [5] excited,announce [5] notify,key Top Word Pairs in Tweet in G7:
[3] modernmilkman_,tells [3] #data4good,story [3] love,#data4good [3] greenbizjournal,mission [3] tells,greenbizjournal [3] plastic,using [3] curb,use [3] use,plastic [3] mission,curb [3] story,modernmilkman_ Top Word Pairs in Tweet in G8:
[4] hiring,recruitment [4] leadership,team [4] fully,remote [4] team,roles [4] benefitted,fully [4] re,hiring [4] open,two [4] roles,benefitted [4] lead,business [4] remote,research Top Word Pairs in Tweet in G9:
[4] latech4good,#npdata [4] '3,ways [4] #npdata,#data4good [4] practitioner',latech4good [4] responsible,data [4] ways,responsible [4] read,'3 [4] data,practitioner' [3] #data4good,#nptechâ [3] techsoup,read Top Replied-To in Entire Graph:
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 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: