The graph represents a network of 3,936 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, 11 January 2019 at 11:08 UTC.
The requested start date was Friday, 11 January 2019 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 7-day, 12-hour, 0-minute period from Thursday, 03 January 2019 at 13:00 UTC to Friday, 11 January 2019 at 01:00 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 : 3936
Unique Edges : 3957
Edges With Duplicates : 2390
Total Edges : 6347
Number of Edge Types : 3
Mentions : 3400
Replies to : 73
Tweet : 2874
Self-Loops : 2874
Reciprocated Vertex Pair Ratio : 0.0414044385558132
Reciprocated Edge Ratio : 0.0795165394402036
Connected Components : 1523
Single-Vertex Connected Components : 905
Maximum Vertices in a Connected Component : 832
Maximum Edges in a Connected Component : 2100
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.118869
Graph Density : 0.000202993770725509
Modularity : 0.567151
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[335] à,à [179] check,out [163] new,year [163] nonprofit,charity [139] nonprofit,fundraising [119] charity,nonprofit [94] ðÿ,ðÿ [71] learn,more [60] non,profit [57] fundraising,nonprofit Top Word Pairs in Tweet in G1:
[335] à,à [45] check,out [39] new,year [36] non,profit [34] charity,nonprofit [32] â,â [25] nonprofit,nonprofits [21] nonprofit,charity [20] link,bio [18] find,out Top Word Pairs in Tweet in G2:
[67] nonprofit,fundraising [49] strive,part [49] part,helping [49] helping,cancer [49] cancer,patients [49] patients,make [49] make,another [49] another,day [49] day,through [49] through,treatment Top Word Pairs in Tweet in G3:
[34] new,post [23] nonprofit,quarterly [22] post,nonprofit [18] quarterly,nonprofit [18] nonprofit,nonprofitnews [16] nonprofitnews,philanthropy [16] check,out [16] ðÿ,ðÿ [15] new,nonprofit [12] post,philantropy Top Word Pairs in Tweet in G4:
[12] nonprofit,socent [11] learn,more [8] volunteer,causes [7] let's,make [7] mypickle,incorporated [7] incorporated,setting [7] setting,up [7] up,nonprofit [7] nonprofit,limited [7] limited,guarantee Top Word Pairs in Tweet in G5:
[8] grantwriting,nonprofit [8] nonprofit,fundraising [8] donor,data [7] t,waste [7] waste,time [7] time,energy [7] energy,dirty [7] dirty,donor [7] data,way [7] way,more Top Word Pairs in Tweet in G6:
[3] charity,causes [3] causes,change [3] change,nonprofit [3] nonprofit,dogood [3] working,education [3] education,health [3] health,youthwork [3] youthwork,staff [3] staff,members [3] members,know Top Word Pairs in Tweet in G7:
[7] familiar,thewhinydonor [7] thewhinydonor,twitter [7] twitter,read [7] read,tweets [7] ve,wondered [7] wondered,many [7] many,nonprofit [6] askhelenbrown,familiar [6] tweets,ve [5] nonprofit,organizat Top Word Pairs in Tweet in G8:
[16] become,pugfest [16] pugfest,sponsor [16] sponsor,partner [16] partner,2019 [16] 2019,amazing [16] amazing,partnership [16] partnership,opportunities [16] opportunities,dm [16] dm,email [16] email,pugsallowed Top Word Pairs in Tweet in G9:
[6] free,resource [6] resource,usafacts [6] usafacts,non [6] non,partisan [6] partisan,nonprofit [6] nonprofit,providing [6] providing,data [6] data,driven [6] driven,portrait [6] portrait,american Top Word Pairs in Tweet in G10:
[6] check,out [5] leverage,nonprofit's [5] nonprofit's,digital [5] digital,presence [5] presence,garner [5] garner,increased [5] increased,support [5] support,grantmaking [5] grantmaking,foundations [5] interested,volunteering Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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