The graph represents a network of 5,032 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 October 2020 at 23:03 UTC.
The requested start date was Friday, 23 October 2020 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, 0-hour, 6-minute period from Wednesday, 14 October 2020 at 23:53 UTC to Friday, 23 October 2020 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 : 5032
Unique Edges : 3295
Edges With Duplicates : 8316
Total Edges : 11611
Number of Edge Types : 5
Tweet : 4096
Mentions : 1628
MentionsInRetweet : 3193
Retweet : 2556
Replies to : 138
Self-Loops : 4306
Reciprocated Vertex Pair Ratio : 0.0472258064516129
Reciprocated Edge Ratio : 0.0901922129127649
Connected Components : 1932
Single-Vertex Connected Components : 1085
Maximum Vertices in a Connected Component : 1085
Maximum Edges in a Connected Component : 4083
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.502339
Graph Density : 0.000160293935943731
Modularity : 0.40732
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,032 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 October 2020 at 23:03 UTC.
The requested start date was Friday, 23 October 2020 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, 0-hour, 6-minute period from Wednesday, 14 October 2020 at 23:53 UTC to Friday, 23 October 2020 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:
[256] #nonprofit,#csr [240] #charity,#nonprofit [196] #nonprofit,#fundraising [171] learn,more [149] #community,#education [145] #nonprofit,#community [142] #education,#sustainability [142] #sustainability,#nonprofits [142] #volunteering,#communities [142] #communities,#yanggang Top Word Pairs in Tweet in G1:
[158] #charity,#nonprofit [107] #nonprofit,#fundraising [85] #nonprofits,#charities [78] #charities,#nonprofitorganization [71] #nonprofitleadership,#501c3 [70] #nonprofitorganization,#nonprofitleadership [66] nonprofit,quarterly [65] #501c3,#notforprofit [62] quarterly,#nonprofit [60] #nonprofit,#nonprofitnews Top Word Pairs in Tweet in G2:
[79] #charity,#donate [76] #donate,#nonprofit [65] #nonprofit,#community [63] #support,#help [60] #fundraiser,#charity [58] #community,#support [58] #help,#donation [47] #donation,#philanthropy [46] kidney,transplant [43] transplant,fundraiser Top Word Pairs in Tweet in G3:
[24] #nonprofit,#fundraising [14] #fundraising,#charity [13] #nonprofit,#npcomms [13] #fundraising,#nonprofit [12] #nonprofit,#charity [11] take,look [10] year,end [9] #nonprofit,newsletter [8] #nonprofit,board [8] #nonprofit,leaders Top Word Pairs in Tweet in G4:
[43] brought,msftnonprofits [16] #nonprofit,team [15] confident,#cybersecurity [15] #cybersecurity,place [15] place,#nonprofit [15] #nonprofit,cdw [15] cdw,experts [15] experts,conduct [15] conduct,attack [14] join,vtfoundation Top Word Pairs in Tweet in G5:
[20] istituzioni,#nonprofit [15] questo,tema [15] tema,sta [15] sta,molto [15] molto,cuore [15] cuore,anni [15] anni,legge [15] legge,#antispreco [15] #antispreco,fornito [15] fornito,quadro Top Word Pairs in Tweet in G6:
[5] back,telethon [5] registration,opens [5] opens,soon [5] soon,annual [5] annual,nj [5] nj,non [5] non,profit [5] profit,conference [5] conference,largest [5] largest,gathering Top Word Pairs in Tweet in G7:
[9] million,#nonprofit [9] dobbs,ferry [9] ferry,ny [8] few,moments [8] moments,ago [8] ago,#nonprofit [8] #nonprofit,business [8] business,sectors [8] sectors,joined [8] joined,together Top Word Pairs in Tweet in G8:
[254] #nonprofit,#csr [142] #community,#education [142] #education,#sustainability [142] #sustainability,#nonprofits [142] #volunteering,#communities [142] #communities,#yanggang [142] #yanggang,#ubi [120] #ubi,#futureofwork [111] fwdhumanity,#nonprofit [108] #sustainability,#education Top Word Pairs in Tweet in G9:
[24] #nonprofit,sector [9] #nonprofit,#documentary [9] #documentary,#film [9] #film,studio [8] phil_journal,canada [8] canada,#nonprofit [8] sector,always [8] always,stepped [8] stepped,times [8] times,crisis Top Word Pairs in Tweet in G10:
[34] #nonprofit,#ngo [15] #nonprofit,#philanthropy [9] #501c3,#nonprofit [8] corporate,sponsors [8] nonprofit,organization [7] #nonprofit,#fundraising [7] people,fatigued [7] tired,scammers [7] scammers,know [7] here's,avoid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: