The graph represents a network of 5,058 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, 29 January 2022 at 00:05 UTC.
The requested start date was Friday, 28 January 2022 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 9-day, 3-hour, 6-minute period from Tuesday, 18 January 2022 at 21:53 UTC to Friday, 28 January 2022 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 : 5058
Unique Edges : 3645
Edges With Duplicates : 8779
Total Edges : 12424
Number of Edge Types : 5
Mentions : 1524
Tweet : 3918
Retweet : 2824
MentionsInRetweet : 4088
Replies to : 70
Self-Loops : 4034
Reciprocated Vertex Pair Ratio : 0.0382276281494353
Reciprocated Edge Ratio : 0.0736401673640167
Connected Components : 1846
Single-Vertex Connected Components : 1064
Maximum Vertices in a Connected Component : 1292
Maximum Edges in a Connected Component : 5350
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.711528
Graph Density : 0.000186877113754132
Modularity : 0.427927
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,058 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, 29 January 2022 at 00:05 UTC.
The requested start date was Friday, 28 January 2022 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 9-day, 3-hour, 6-minute period from Tuesday, 18 January 2022 at 21:53 UTC to Friday, 28 January 2022 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:
[337] huge,thank [334] #nonprofit,partners [333] thank,due [333] due,harry_styles [333] harry_styles,love [333] love,tour [333] tour,team [333] team,nalgene [333] nalgene,#nonprofit [333] partners,making Top Word Pairs in Tweet in G1:
[91] learn,more [58] #charity,#nonprofit [55] nuova,posizione [55] #lavoro,#nonprofit [52] #nonprofit,#charity [41] link,bio [34] non,profit [32] #nonprofit,#nonprofitorganization [30] volunteer,managers [28] #donate,#nonprofit Top Word Pairs in Tweet in G2:
[332] huge,thank [332] thank,due [332] due,harry_styles [332] harry_styles,love [332] love,tour [332] tour,team [332] team,nalgene [332] nalgene,#nonprofit [332] #nonprofit,partners [332] partners,making Top Word Pairs in Tweet in G3:
[131] learn,try [116] #csr,#corpgov [89] #corpgov,#aml [89] #aml,#crypto [88] #crypto,#finserv [88] #finserv,#wef [86] martinhoyes,#csr [84] #community,#education [84] #education,#sustainability [84] #sustainability,#nonprofits Top Word Pairs in Tweet in G4:
[133] #donate,#nonprofit [86] #thebwvfoundation,#donate [29] #volunteer,#donate [24] #girlchild,#womenempowerment [22] #charity,#nonprofit [19] wordpress,theme [18] #ngo,#nonprofit [18] text,jdfgive [18] jdfgive,44 [18] 44,321 Top Word Pairs in Tweet in G5:
[19] #nonprofit,#npcomms [17] #npcomms,#communications [14] #nonprofit,#npo [14] #nonprofit,#charity [14] #charity,#fundraising [14] #doylestown,#nonprofit [13] #fundraising,#philanthropy [13] #philanthropy,#donors [13] #donors,#directmail [13] #buckscountypa,#doylestown Top Word Pairs in Tweet in G6:
[24] #grantwriting,#nonprofit [13] government's,cybersolarium [13] cybersolarium,promoted [13] promoted,#cybersecurity [13] #cybersecurity,measures [13] measures,shutting [13] shutting,down [13] down,due [13] due,increase [13] #nonprofit,staff Top Word Pairs in Tweet in G7:
[32] #nonprofit,#education [15] #charity,#nonprofit [13] #nonprofit,leaders [12] #ngo,#charity [12] #matadormedicalmanagement,#ivp [12] #ivp,#covid [12] #covid,#covid19 [12] #covid19,#coronavirus [12] #coronavirus,#community [12] #community,#nonprofit Top Word Pairs in Tweet in G8:
[36] saw,liked [36] liked,share [36] share,btw [36] btw,please [36] please,remember [36] remember,includes [36] includes,#health [36] #health,#nonprofit [36] #nonprofit,sectors [36] sectors,#bekind Top Word Pairs in Tweet in G9:
[28] brought,msftnonprofits [17] msftnonprofits,learn [11] cloud,ai [11] ai,non [11] non,profit [11] profit,healthcare [11] healthcare,industries [11] industries,pensignal [11] pensignal,#healthcare [11] #healthcare,#artificialintelligence Top Word Pairs in Tweet in G10:
[27] beautiful,cora [27] cora,living [27] living,life [27] life,wfas_cares [27] wfas_cares,sanctuary [27] sanctuary,#nonprofit [27] #nonprofit,#rescue [27] #rescue,#ditchdairy [27] #ditchdairy,#govegan [26] willowwind64,beautiful Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: