The graph represents a network of 5,008 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, 08 October 2021 at 23:00 UTC.
The requested start date was Friday, 08 October 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 8-day, 10-hour, 9-minute period from Wednesday, 29 September 2021 at 13:51 UTC to Friday, 08 October 2021 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 : 5008
Unique Edges : 3251
Edges With Duplicates : 8138
Total Edges : 11389
Number of Edge Types : 5
Mentions : 1748
Retweet : 2330
MentionsInRetweet : 2868
Tweet : 4133
Replies to : 310
Self-Loops : 4277
Reciprocated Vertex Pair Ratio : 0.0501878690284487
Reciprocated Edge Ratio : 0.0955788397648863
Connected Components : 1970
Single-Vertex Connected Components : 1155
Maximum Vertices in a Connected Component : 912
Maximum Edges in a Connected Component : 3824
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.429673
Graph Density : 0.000156051495956779
Modularity : 0.401296
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,008 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, 08 October 2021 at 23:00 UTC.
The requested start date was Friday, 08 October 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 8-day, 10-hour, 9-minute period from Wednesday, 29 September 2021 at 13:51 UTC to Friday, 08 October 2021 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:
[221] learn,more [219] #nonprofit,#community [191] #charity,#nonprofit [149] #nonprofit,#charity [146] #nonprofit,#fundraising [142] non,profit [133] #salesforce,#dreamforce [130] #imallinareyou,#eacl [128] #eacl,#watchusgrow [128] #watchusgrow,#nonprofit Top Word Pairs in Tweet in G1:
[75] learn,more [56] #charity,#nonprofit [49] link,bio [43] #nonprofit,#fundraising [40] click,link [38] nuova,posizione [38] #lavoro,#nonprofit [37] non,profit [36] #nonprofit,#charity [34] #hongkong,#nonprofit Top Word Pairs in Tweet in G2:
[133] #salesforce,#dreamforce [122] #dreamforce,#startup [122] #startup,#startups [117] #startups,#ai [107] #ai,#socialmedia [101] #socialmedia,#futureofwork [101] #futureofwork,#hrtech [91] #hrtech,#cx [78] #df21,#nonprofits [77] #cx,#df21 Top Word Pairs in Tweet in G3:
[54] #charity,#nonprofit [44] #donate,#nonprofit [42] #nonprofit,#education [41] #nonprofit,#charity [38] #ngo,#charity [37] #education,#donate [26] learn,more [26] #transformativestrategies,#nonprofit [22] #nonprofit,#donate [22] #india,#love Top Word Pairs in Tweet in G4:
[21] #nonprofit,#charity [17] #charity,#fundraising [16] #fundraising,#philanthropy [15] #philanthropy,#donors [15] link,below [14] #donors,#directmail [14] see,link [14] #nonprofit,#fundraising [13] #directmail,#copywriting [12] learn,more Top Word Pairs in Tweet in G5:
[81] #donationcrypto,#donation [81] #donation,#donatetoday [80] #donatetoday,#help [80] #help,#covid [80] #covid,#art [72] #art,#socialgood [61] #socialgood,#nonprofit [52] #nonprofit,#community [17] #community,theâ [11] #socialgood,#nonprofitâ Top Word Pairs in Tweet in G6:
[32] nonprofit,communications [19] grand,prize [16] lwv,vote411 [16] vote411,lwvedfund [15] round,applause [15] applause,lwv [15] lwvedfund,won [15] won,grand [15] prize,nonprofit [15] communications,campaign Top Word Pairs in Tweet in G7:
[3] do_kinder,minionpostdoc [3] minionpostdoc,kkgonza [3] kkgonza,500womensci [3] 500womensci,womenwhocode [3] womenwhocode,marchforscience [3] marchforscience,cdwoolston [3] cdwoolston,academicparity [3] academicparity,proftimnoakes [2] braincures,do_kinder [2] first,two Top Word Pairs in Tweet in G8:
[10] looking,team [10] team,members [10] members,experience [10] experience,#malware [10] #malware,#ransomware [10] #ransomware,100 [10] 100,#nonprofit [10] #nonprofit,#ong [9] connecting,#nonprofit [9] #nonprofit,#boards Top Word Pairs in Tweet in G9:
[17] #nonprofit,sector [10] black,indigenous [10] indigenous,nonprofit [10] nonprofit,workers [9] calling,black [9] workers,invited [9] invited,#nonprofitdriven [9] #nonprofitdriven,2021 [9] 2021,virtual [9] virtual,conference Top Word Pairs in Tweet in G10:
[67] save,against [67] against,fear [62] panel,schedule [62] schedule,save [60] take,look [60] look,panel [60] fear,click [60] click,link [60] link,look [60] look,full 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 G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: