The graph represents a network of 115 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, 12 December 2022 at 19:45 UTC.
The requested start date was Monday, 12 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 11-day, 7-hour, 48-minute period from Monday, 28 November 2022 at 07:55 UTC to Friday, 09 December 2022 at 15:43 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 : 115
Unique Edges : 52
Edges With Duplicates : 200
Total Edges : 252
Number of Edge Types : 4
Retweet : 90
MentionsInRetweet : 107
Mentions : 28
Tweet : 27
Self-Loops : 27
Reciprocated Vertex Pair Ratio : 0.0350877192982456
Reciprocated Edge Ratio : 0.0677966101694915
Connected Components : 20
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 42
Maximum Edges in a Connected Component : 114
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.612732
Graph Density : 0.00900076277650648
Modularity : 0.451145
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 115 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, 12 December 2022 at 19:45 UTC.
The requested start date was Monday, 12 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 11-day, 7-hour, 48-minute period from Monday, 28 November 2022 at 07:55 UTC to Friday, 09 December 2022 at 15:43 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] 360giving,#jobalert [19] early,career [17] join,small [17] public,finance [17] marketing,engagement [17] fiscal,fellowship [16] fellowship,2023 [16] support,lead [16] data,support [15] announcing,fiscal Top Word Pairs in Tweet in G1:
[19] early,career [17] fiscal,fellowship [17] public,finance [16] fellowship,2023 [15] professional,interested [15] interested,public [15] career,professional [15] 2023,student [15] announcing,fiscal [15] student,early Top Word Pairs in Tweet in G2:
[20] 360giving,#jobalert [17] marketing,engagement [16] join,small [15] support,lead [15] engagement,manager [15] data,support [15] hiring,marketing [15] manager,join [13] re,hiring [13] comms,advocacy Top Word Pairs in Tweet in G3:
[5] curious,oversee [5] #callforpapers,submissions [5] oversee,#shinyconf2023 [5] review,#callforpapers [5] #shinyconf2023,schedule [5] schedule,peer [5] peer,review [4] groãÿes,#danke [4] ganz,groãÿes [4] #tagdesehrenamts,ganz Top Word Pairs in Tweet in G4:
[3] love,#data4good [3] #data4good,#jobalertðÿš [3] greenbizjournal,mission [3] mission,curb [3] story,modernmilkman_ [3] tells,greenbizjournal [3] #data4good,#jobalert [3] modernmilkman_,tells [3] #data4good,story [3] curb,use 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:
[5] helps,law [5] #data4good,program [5] notify,key [5] launch,#data4good [5] announce,launch [5] customers,notify [5] program,helps [5] excited,announce [5] enforcement,customers [5] law,enforcement Top Word Pairs in Tweet in G7:
[4] read,'3 [4] #npdata,#data4good [4] latech4good,#npdata [4] data,practitioner' [4] practitioner',latech4good [4] '3,ways [4] responsible,data [4] ways,responsible [3] techsoup,read [3] #data4good,#nptechâ Top Word Pairs in Tweet in G8:
[8] impact,deal [4] class,impact [4] first,class [4] deal,last [4] demo,day [4] last,november [4] congratulations,first [4] deal,acceleration [4] day,impact [4] 24,first Top Word Pairs in Tweet in G9:
[2] justice,system Top Word Pairs in Tweet in G10:
[3] went,hyperlocal [3] community,impact [3] aclima,brought [3] pollution,vulnerability [3] vulnerability,partnership [3] brought,community [3] hyperlocal,pollution [3] partnership,aclima [2] impact,invesâ [2] ufplatform,went 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 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: