The graph represents a network of 4,009 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, 23 December 2022 at 23:35 UTC.
The requested start date was Friday, 23 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 7-day, 18-hour, 20-minute period from Thursday, 15 December 2022 at 06:34 UTC to Friday, 23 December 2022 at 00:55 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 : 4009
Unique Edges : 2337
Edges With Duplicates : 8122
Total Edges : 10459
Number of Edge Types : 5
Tweet : 4736
Retweet : 2022
MentionsInRetweet : 2328
Mentions : 1134
Replies to : 239
Self-Loops : 4830
Reciprocated Vertex Pair Ratio : 0.0332971407889975
Reciprocated Edge Ratio : 0.0644483362521891
Connected Components : 1688
Single-Vertex Connected Components : 1066
Maximum Vertices in a Connected Component : 819
Maximum Edges in a Connected Component : 4169
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.528738
Graph Density : 0.000177681553829234
Modularity : 0.336918
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,009 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, 23 December 2022 at 23:35 UTC.
The requested start date was Friday, 23 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 7-day, 18-hour, 20-minute period from Thursday, 15 December 2022 at 06:34 UTC to Friday, 23 December 2022 at 00:55 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:
[668] #affiliateprogram,#business [667] #socialmedia,#affiliateprogram [663] #deals,#socialmedia [662] #nonprofit,#travel [620] #business,#deal [523] #socialmedia,#business [515] #twitter,#nonprofit [511] #travel,#earn [510] #earn,#deals [507] #rt,#retweet Top Word Pairs in Tweet in G1:
[82] learn,more [82] nuova,posizione [79] #lavoro,#nonprofit [68] #charity,#nonprofit [65] non,profit [59] link,bio [45] #donate,#nonprofit [41] #nonprofit,#charity [40] #nonprofit,#disability [40] #support,#nonprofit Top Word Pairs in Tweet in G2:
[668] #affiliateprogram,#business [666] #socialmedia,#affiliateprogram [662] #deals,#socialmedia [661] #nonprofit,#travel [619] #business,#deal [515] #twitter,#nonprofit [511] #travel,#earn [510] #earn,#deals [506] #socialmedia,#business [489] #rt,#retweet Top Word Pairs in Tweet in G3:
[189] #legacy,#health [189] #health,#alliance [189] #veterans,#legacy [189] come,work [138] #alliance,come [126] #backatdaclub,#veterans [126] #meanwhile,#backatdaclub [117] work,nonprofit [93] nonprofit,sector [54] sector,#nonprofit Top Word Pairs in Tweet in G4:
[106] viene,hilo [106] están,inglés [106] #vacantesenong,empiezo [106] luego,están [106] convocatorias,español [106] empiezo,convocatorias [106] español,luego [106] hilo,#vacantesenong [105] abriljuari,viene [2] gusta,compartir Top Word Pairs in Tweet in G5:
[116] full,time [78] united,states [70] states,america [63] america,full [36] time,dept [25] level,dept [23] remote,united [22] #nonprofit,#disability [21] support,worker [18] #nonprofit,#justice Top Word Pairs in Tweet in G6:
[12] learn,more [8] join,team [7] referindia,follow [7] live,rite [6] open,positions [6] apply,today [5] #liverite,#recovery [5] conference,content [5] #fasb,commercial [5] #wichita,#overlandpark Top Word Pairs in Tweet in G7:
[28] #charity,#nonprofit [28] #ngo,#charity [22] #nonprofit,#education [18] #rt,#retweet [18] #businesses,#rt [17] #digitalmarketing,#support [17] #tweet,#fundraiser [17] #business,#tweet [17] #retweet,#nonprofit [16] #socialmedia,#business Top Word Pairs in Tweet in G8:
[34] learner,chief [34] drown,msupply [34] talks,founder [34] chief,craig [34] founder,learner [34] features,talks [34] #nonprofit,organisation [34] craig,drown [34] msupply,#nonprofit [34] research,features Top Word Pairs in Tweet in G9:
[19] backed,leading [19] #philanthropic,orgs [19] #nonprofit,#philanthropic [19] open,#edtechaccelerator [19] applications,open [19] leading,#nonprofit [19] #edtechaccelerator,backed [19] orgs,#education [18] csf_india,applications [12] crime,victims Top Word Pairs in Tweet in G10:
[4] elonmusk,#nonprofit [4] serious,technical [4] manages,displace [4] twitter,billions [4] #nonprofit,#opensource [4] drawbacks,manages [4] #opensource,project [4] displace,twitter [4] technical,drawbacks [4] project,serious 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 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 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: