The graph represents a network of 5,209 Twitter users whose tweets in the requested range contained "#nonprofit", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 March 2022 at 22:59 UTC.
The requested start date was Friday, 25 March 2022 at 00:01 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 8-day, 7-hour, 28-minute period from Wednesday, 16 March 2022 at 16:31 UTC to Friday, 25 March 2022 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 : 5209
Unique Edges : 3134
Edges With Duplicates : 8537
Total Edges : 11671
Number of Edge Types : 5
Tweet : 3940
Retweet : 2774
MentionsInRetweet : 3353
Mentions : 1504
Replies to : 100
Self-Loops : 4097
Reciprocated Vertex Pair Ratio : 0.0431056213763549
Reciprocated Edge Ratio : 0.0826486225229579
Connected Components : 1950
Single-Vertex Connected Components : 1119
Maximum Vertices in a Connected Component : 933
Maximum Edges in a Connected Component : 3480
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.899936
Graph Density : 0.000152533471107403
Modularity : 0.411602
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,209 Twitter users whose tweets in the requested range contained "#nonprofit", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 March 2022 at 22:59 UTC.
The requested start date was Friday, 25 March 2022 at 00:01 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 8-day, 7-hour, 28-minute period from Wednesday, 16 March 2022 at 16:31 UTC to Friday, 25 March 2022 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 : #nonprofit
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:
[282] making,history [244] learn,more [205] #charity,#nonprofit [159] non,profit [156] #nonprofit,#charity [143] first,african [141] women,making [141] history,muthoni [141] muthoni,gitata [141] gitata,trailblazing Top Word Pairs in Tweet in G1:
[100] learn,more [73] #charity,#nonprofit [63] non,profit [37] #nonprofit,#charity [36] nuova,posizione [36] #lavoro,#nonprofit [35] link,bio [31] #hongkong,#nonprofit [30] #nonprofit,#donate [29] click,link Top Word Pairs in Tweet in G2:
[114] #hranalytics,#corpgov [98] #nonprofits,#nonprofit [91] #csr,#csuite [87] #corpgov,#csr [73] #csr,#corpgov [68] fwdhumanity,#csr [61] #csuite,#hr [61] #communities,#nonprofits [58] #datagovernance,#wef [58] #wef,#hr Top Word Pairs in Tweet in G3:
[282] making,history [141] women,making [141] history,muthoni [141] muthoni,gitata [141] gitata,trailblazing [141] trailblazing,woman [141] woman,making [141] history,kenya's [141] kenya's,very [141] very,first Top Word Pairs in Tweet in G4:
[26] #nonprofit,#organization [24] touch,91 [20] wordpress,theme [20] #ngo,#foundation [20] #foundation,#nonprofit [20] #organization,#nongovernmental [19] #nongovernmental,#children [19] #children,#needy [17] #ethics,case [17] case,study Top Word Pairs in Tweet in G5:
[23] #coop,#nonprofit [23] looking,join [21] join,espc [21] espc,team [21] team,hiring [21] hiring,project [21] project,coordinator [21] coordinator,research [21] research,service [21] service,capacity Top Word Pairs in Tweet in G6:
[15] friendly,reminder [15] reminder,need [15] need,tell [15] tell,ourselves [15] ourselves,once [15] once,awhile [15] awhile,talking [15] talking,#nonprofit [15] #nonprofit,pros [14] ianmadair,friendly Top Word Pairs in Tweet in G7:
[3] ministrywcd,ncwindia [2] #nonprofit,#education [2] raised,over [2] training,young [2] young,animal [2] animal,carers [2] carers,lakkhi [2] lakkhi,important [2] important,animal [2] animal,welfare Top Word Pairs in Tweet in G8:
[26] #dc,coming [26] coming,sunday [26] sunday,20 [26] 20,doing [26] doing,#coimmmunity [26] #coimmmunity,spring [26] spring,celebration [26] celebration,elmira's [26] elmira's,market [26] market,ward Top Word Pairs in Tweet in G9:
[36] early,childhood [36] childhood,shania [36] shania,twain [36] twain,made [36] made,herself [36] herself,promise [36] promise,one [36] one,day [36] day,find [36] find,way Top Word Pairs in Tweet in G10:
[26] breast,cancer [6] asian,american [6] american,women [5] #breastcancerawareness,#breastcancer [5] professional,artists [5] #breastcancer,#nonprofit [4] happy,saint [4] saint,paddy's [4] paddy's,day [4] #strongertogether,#nonprofit Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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 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: