The graph represents a network of 4,955 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 Saturday, 11 December 2021 at 00:10 UTC.
The requested start date was Friday, 10 December 2021 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 8-day, 5-hour, 53-minute period from Wednesday, 01 December 2021 at 19:07 UTC to Friday, 10 December 2021 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 : 4955
Unique Edges : 2988
Edges With Duplicates : 9173
Total Edges : 12161
Number of Edge Types : 5
Mentions : 1656
Tweet : 3869
Retweet : 2922
MentionsInRetweet : 3642
Replies to : 72
Self-Loops : 4053
Reciprocated Vertex Pair Ratio : 0.048339973439575
Reciprocated Edge Ratio : 0.0922219407144667
Connected Components : 1887
Single-Vertex Connected Components : 1090
Maximum Vertices in a Connected Component : 820
Maximum Edges in a Connected Component : 4333
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.814204
Graph Density : 0.000160793121134213
Modularity : 0.378126
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,955 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 Saturday, 11 December 2021 at 00:10 UTC.
The requested start date was Friday, 10 December 2021 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 8-day, 5-hour, 53-minute period from Wednesday, 01 December 2021 at 19:07 UTC to Friday, 10 December 2021 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".
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:
[238] learn,more [188] #donate,#nonprofit [182] #charity,#nonprofit [162] #nonprofit,#charity [147] #crypto,industry [131] #csr,#corpgov [130] #aml,#crypto [125] #nonprofit,#fundraising [122] #wef,#datagovernance [122] #datagovernance,#futureofwork Top Word Pairs in Tweet in G1:
[68] #charity,#nonprofit [53] learn,more [49] #nonprofit,#donate [47] link,bio [45] nuova,posizione [45] #lavoro,#nonprofit [43] î,î [42] #nonprofit,#nonprofitorganization [41] non,profit [38] #nonprofit,#charity Top Word Pairs in Tweet in G2:
[147] #crypto,industry [131] #csr,#corpgov [130] #aml,#crypto [122] #wef,#datagovernance [122] #datagovernance,#futureofwork [118] #nonprofit,#csr [118] #donate,#nonprofit [117] #corpgov,#aml [114] #finserv,#wef [114] #futureofwork,#insurtech Top Word Pairs in Tweet in G3:
[5] bullyingalberta,acevo [5] acevo,drumeshprabhu [5] drumeshprabhu,mingberg [5] mingberg,judithcarmody1 [5] judithcarmody1,nicochan33 [5] nicochan33,writer_mikem [5] writer_mikem,annetteharpell [4] #nfp,#nonprofit [3] do_kinder,minionpostdoc [3] minionpostdoc,kkgonza Top Word Pairs in Tweet in G4:
[51] #nonprofit,#fundraising [19] see,link [18] link,below [17] #nonprofit,#charity [15] #charity,#fundraising [14] #fundraising,#philanthropy [14] #philanthropy,#donors [12] #donors,#directmail [12] #directmail,#copywriting [11] communicate,#nonprofit Top Word Pairs in Tweet in G5:
[24] mental,health [12] home,risk [11] #nonprofit,#socent [11] chat,mental [9] risk,children [9] forge_army,improving [9] improving,#mentalhealth [9] #mentalhealth,#veterans [9] #veterans,#vr [9] #vr,connects Top Word Pairs in Tweet in G6:
[13] learn,more [9] #nonprofit,#fundraising [7] credit,card [7] join,caroline [7] caroline,wanjiru [7] wanjiru,partners [7] partners,thehijabimento1 [7] thehijabimento1,sunday [7] sunday,discuss [7] discuss,counseling Top Word Pairs in Tweet in G7:
[10] donorbox,#givingtuesday [8] young,adults [8] #givingtuesday,changed [8] changed,world [8] world,better [8] thank,choosing [7] thank,everyone [7] #mentalhealth,#nonprofit [7] friendsgiving,campaign [7] adults,teens Top Word Pairs in Tweet in G8:
[61] श,क [53] क,ष [34] बच,च [26] #charity,#nonprofit [25] ज,वन [24] ष,स [18] #fts,#ftsbharat [18] #ftsbharat,#ekalvidyalaya [18] #ekalvidyalaya,#ekal [18] #nonprofit,#donation Top Word Pairs in Tweet in G9:
[47] urgent,rescue [47] rescue,we've [47] we've,heard [47] heard,bear [47] bear,cub [47] cub,stolen [47] stolen,wild [47] wild,trafficked [47] trafficked,help [47] help,give Top Word Pairs in Tweet in G10:
[50] dcac,partnering [50] partnering,egpaf [50] egpaf,create [50] create,hiv [50] hiv,free [50] free,generation [50] generation,donation [45] donation,match [43] dcacco,dcac [37] match,#worldaidsday 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 G4:
Top Replied-To in G7:
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: