The graph represents a network of 5,163 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, 18 March 2022 at 22:59 UTC.
The requested start date was Friday, 18 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, 5-hour, 17-minute period from Wednesday, 09 March 2022 at 18:43 UTC to Friday, 18 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 : 5163
Unique Edges : 3165
Edges With Duplicates : 8717
Total Edges : 11882
Number of Edge Types : 5
Retweet : 2805
MentionsInRetweet : 3504
Tweet : 3868
Mentions : 1559
Replies to : 146
Self-Loops : 3994
Reciprocated Vertex Pair Ratio : 0.0451406018746917
Reciprocated Edge Ratio : 0.0863818739674298
Connected Components : 1910
Single-Vertex Connected Components : 1058
Maximum Vertices in a Connected Component : 904
Maximum Edges in a Connected Component : 3457
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.328263
Graph Density : 0.000158978479409304
Modularity : 0.410907
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,163 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, 18 March 2022 at 22:59 UTC.
The requested start date was Friday, 18 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, 5-hour, 17-minute period from Wednesday, 09 March 2022 at 18:43 UTC to Friday, 18 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:
[293] learn,more [183] #charity,#nonprofit [146] non,profit [143] #nonprofit,#charity [127] #hranalytics,#corpgov [116] making,history [114] #nonprofit,#fundraising [111] श,क [110] क,ष [96] #texttowin,#mobile Top Word Pairs in Tweet in G1:
[87] learn,more [68] #charity,#nonprofit [58] non,profit [45] #donate,#nonprofit [38] #nonprofit,#donate [34] #nonprofit,#charity [29] #nonprofit,#nonprofitorganization [28] happy,st [26] #volunteer,#donate [25] #nonprofit,#giveback Top Word Pairs in Tweet in G2:
[127] #hranalytics,#corpgov [78] martinhoyes,#hranalytics [76] #corpgov,#csr [65] #csuite,#hr [62] #corpgov,#csuite [62] #csuite,#legaltech [62] #wef,#hr [50] #nonprofit,#csr [47] #salesforce,#hrtech [46] #legaltech,#csr Top Word Pairs in Tweet in G3:
[116] making,history [70] know,last [70] last,day [70] day,#blackhistorymonth [70] #blackhistorymonth,please [70] please,don [70] don,stop [70] stop,supporting [70] supporting,#blackbusiness [69] penonprofitva,know Top Word Pairs in Tweet in G4:
[77] field,actions [77] actions,speak [77] speak,louder [77] louder,words [77] words,10k [77] 10k,donation [77] donation,paisley [56] #veterinarian,myself [56] myself,field [32] paisley,paws Top Word Pairs in Tweet in G5:
[37] check,great [37] great,community [37] community,top [37] top,resource [37] resource,those [35] those,#nonprofit [33] #nonprofit,#philanthropy [29] #philanthropy,fields [28] #nosingleuseplatic,#nonprofit [27] #helptheearth,#nonprofit Top Word Pairs in Tweet in G6:
[14] international,grant [14] grant,professionals [14] professionals,day [9] learn,more [9] #nonprofit,leaders [8] safe,bars [8] bars,hiring [8] hiring,director [8] director,#job [8] #job,#hiring Top Word Pairs in Tweet in G7:
[46] touch,91 [28] #ngo,#foundation [28] #foundation,#nonprofit [28] #nonprofit,#organization [28] #organization,#nongovernmental [28] #nongovernmental,#children [26] #children,#needy [25] #charity,#nonprofit [25] #needy,#needypeopple [24] #needypeopple,#support Top Word Pairs in Tweet in G8:
[43] #nonprofit,#leadership [31] #orthodox,#nonprofit [17] exposing,girls [17] girls,#k12 [17] #k12,kids [17] kids,underrepresented [17] underrepresented,#computing [17] #computing,coding [17] coding,#stem [17] #stem,gives Top Word Pairs in Tweet in G9:
[19] help,homeless [19] homeless,pets [19] pets,sure [19] sure,start [19] start,make [19] make,difference [19] difference,reading [19] reading,more [19] more,tips [18] petsofhomeless,help Top Word Pairs in Tweet in G10:
[9] listen,jim [9] jim,moss [9] moss,executive [9] executive,director [8] work,situation [8] situation,during [8] during,pandemic [8] pandemic,impact [8] impact,overall [8] overall,health Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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: