The graph represents a network of 5,064 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, 05 November 2021 at 23:08 UTC.
The requested start date was Friday, 05 November 2021 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 9-day, 0-hour, 45-minute period from Tuesday, 26 October 2021 at 23:15 UTC to Friday, 05 November 2021 at 00:01 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 : 5064
Unique Edges : 3156
Edges With Duplicates : 8538
Total Edges : 11694
Number of Edge Types : 5
Tweet : 4153
Mentions : 1656
Retweet : 2577
MentionsInRetweet : 3128
Replies to : 180
Self-Loops : 4338
Reciprocated Vertex Pair Ratio : 0.0502367175170963
Reciprocated Edge Ratio : 0.0956674179814676
Connected Components : 1945
Single-Vertex Connected Components : 1144
Maximum Vertices in a Connected Component : 538
Maximum Edges in a Connected Component : 2326
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.072843
Graph Density : 0.000155739109027205
Modularity : 0.399746
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,064 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, 05 November 2021 at 23:08 UTC.
The requested start date was Friday, 05 November 2021 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 9-day, 0-hour, 45-minute period from Tuesday, 26 October 2021 at 23:15 UTC to Friday, 05 November 2021 at 00:01 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:
[251] learn,more [199] #nonprofit,#charity [174] #charity,#nonprofit [146] #nonprofit,#fundraising [130] non,profit [105] #startups,#ai [104] #startup,#startups [89] #community,#nonprofit [89] #nonprofit,#community [87] #futureofwork,#hrtech Top Word Pairs in Tweet in G1:
[87] learn,more [62] link,bio [51] #charity,#nonprofit [39] #fundraising,#nonprofit [37] ì,ì [36] non,profit [33] #noplastic,#nonprofit [32] #nonprofit,#charity [30] #saveearth,#nonprofit [28] #ngo,#nonprofit Top Word Pairs in Tweet in G2:
[104] #startups,#ai [103] #startup,#startups [86] #futureofwork,#hrtech [84] #salesforce,#dreamforce [84] #socialmedia,#futureofwork [76] #dreamforce,#startup [76] #ai,#socialmedia [74] #nonprofit,#fundraising [66] #hrtech,#cx [63] #nonprofits,#communities Top Word Pairs in Tweet in G3:
[44] #donate,#nonprofit [40] #charity,#nonprofit [36] #nonprofit,#charity [34] #nonprofit,#donate [34] ø,ø [24] ø,ù [22] ù,ø [18] #donate,#volunteer [17] #thebwvfoundation,#donate [17] #charity,#donate Top Word Pairs in Tweet in G4:
[16] #nonprofit,#npcomms [13] #npcomms,#communications [11] tools,nonprofits [11] nonprofits,globalowls [11] globalowls,raultiru [10] marketing,tools [9] #everywomanworks,#eww [9] #eww,#empoweringwomen [9] giving,tuesday [9] #video,#marketing Top Word Pairs in Tweet in G5:
[34] #thepeoples_coin,opportunity [29] #nonprofit,organizations [26] give,#thepeoples_coin [26] giving,back [25] #veterinarians,#vettechs [24] animals,need [24] happy,working [24] the_peoples_vet,drchrisbrown [24] make,#thepeoples_coin [24] #thepeoples_coin,next Top Word Pairs in Tweet in G6:
[10] year,end [10] learn,more [7] #nonprofit,organizations [7] link,below [7] #fundraising,#nonprofit [7] #nonprofit,#fundraising [6] see,link [5] below,learn [5] see,below [5] end,#fundraising Top Word Pairs in Tweet in G7:
[2] do_kinder,minionpostdoc [2] minionpostdoc,kkgonza [2] kkgonza,500womensci [2] 500womensci,womenwhocode [2] womenwhocode,marchforscience [2] marchforscience,cdwoolston [2] cdwoolston,academicparity [2] academicparity,proftimnoakes Top Word Pairs in Tweet in G8:
[34] #nonprofit,#community [31] #imallinareyou,#eacl [31] ufl_asg,#adultsocialgaming [30] #adultsocialgaming,#asgmovement [30] #asgmovement,#asgest [30] #asgest,#imallin [30] #imallin,#imallinareyou [30] #eacl,#watchusgrow [30] #watchusgrow,#nonprofit [29] #community,#socialentrepreneur Top Word Pairs in Tweet in G9:
[17] #nonprofit,sector [15] more,awareness [15] training,use [15] use,pr [15] pr,attract [15] attract,flood [15] flood,media [15] media,awareness [15] secret,sauce [14] learn,more Top Word Pairs in Tweet in G10:
[22] brought,msftnonprofits [12] #nonprofit,#cloud [12] #cloud,journey [12] journey,streamlining [12] streamlining,operations [12] operations,cloud [12] cloud,based [12] based,#crm [12] #crm,keep [12] keep,org Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
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:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: