The graph represents a network of 1,506 Twitter users whose recent tweets contained "nptech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 12:43 UTC.
The tweets in the network were tweeted over the 3160-day, 8-hour, 12-minute period from Friday, 18 July 2014 at 15:09 UTC to Monday, 13 March 2023 at 23:21 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1506
Unique Edges : 1396
Edges With Duplicates : 7676
Total Edges : 9072
Number of Edge Types : 9
Tweet : 1433
Mentions : 1710
Retweet : 2022
MentionsInRetweet : 2918
Quote : 445
MentionsInQuote : 121
Replies to : 162
MentionsInReplyTo : 249
MentionsInQuoteReply : 12
Self-Loops : 2675
Reciprocated Vertex Pair Ratio : 0.0848831664282308
Reciprocated Edge Ratio : 0.156483516483516
Connected Components : 131
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 1228
Maximum Edges in a Connected Component : 8501
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.817345
Graph Density : 0.0010037369900244
Modularity : 0.215356
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,506 Twitter users whose recent tweets contained "nptech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 12:43 UTC.
The tweets in the network were tweeted over the 3160-day, 8-hour, 12-minute period from Friday, 18 July 2014 at 15:09 UTC to Monday, 13 March 2023 at 23:21 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : nptech
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:
[487] #nonprofits,#nonprofit [472] #csr,#corpgov [311] #legaltech,#csuite [309] #corpgov,#hrtech [306] #hrtech,#legaltech [296] #corpgov,#socialgood [287] #socialgood,#shrm [283] #shrm,#nonprofits [282] #csuite,#hr [278] #salesforce,#csr Top Word Pairs in Tweet in G1:
[132] #nptech,#nonprofits [107] learn,more [57] 10am,pt [56] more,#nptech [50] #techsoupblog,#nptech [44] join,quad [42] optimize,technology [41] quad,receive [41] members,discounts [41] personalized,advice Top Word Pairs in Tweet in G2:
[486] #nonprofits,#nonprofit [469] #csr,#corpgov [311] #legaltech,#csuite [309] #corpgov,#hrtech [306] #hrtech,#legaltech [296] #corpgov,#socialgood [287] #socialgood,#shrm [283] #shrm,#nonprofits [282] #csuite,#hr [278] #salesforce,#csr Top Word Pairs in Tweet in G3:
[246] #technology,#nptech [244] open,internet [244] openmediaorg,fight [242] fight,open [242] help,openmediaorg [239] donate,today [237] internet,donate [235] today,#technology [6] bill,11 [5] #free,#internet Top Word Pairs in Tweet in G4:
[72] sfdopartners,#nptech [65] gt,gt [28] gt,sfdopartners [22] learn,more [14] #nptech,#assnchat [12] #df22,#nptech [10] #dreamforce2022,#df22 [10] grateful,opportunity [10] marketing,cloud [10] #assnchat,#nptech Top Word Pairs in Tweet in G5:
[12] #nonprofit,#4change [11] #fundraising,#nptech [11] #4change,#csr [11] #nptech,#techforgood [9] #socialgood,#charity [9] #charity,#fundraising [9] #csr,#socialgood [7] म,र [7] #fundchat,#startinggood [6] #techforgood,#cdwsocial Top Word Pairs in Tweet in G6:
[55] #nonprofit,#nptech [54] #fundraising,#nonprofit [36] #fundraising,#nptech [26] #nptech,#dogood [24] #dogood,#socialchange [23] #nptech,#techforgood [23] #nptech,#fundraising [23] #techforgood,#cdwsocial [22] #nonprofits,#nptech [21] tech,good Top Word Pairs in Tweet in G7:
[8] join,datadotorg [8] #nptech,#datascience [8] 10,11 [6] lbgotts,#goodtechfest [6] goodtechfest,keynote [6] 11,#nptech [6] #goodtechfest,10 [6] catch,colleagues [6] rondaz_g,lbgotts [6] colleagues,datadotorg Top Word Pairs in Tweet in G8:
[17] #sfdc,#insurtech [13] henhouse,video [13] builders,#qa [13] test,#salesforce [13] asking,builders [13] guard,henhouse [13] #qa,test [13] video,clip [13] fox,guard [13] #salesforce,solutions Top Word Pairs in Tweet in G9:
[69] uk,charity [63] charity,looking [60] looking,donations [56] equipment,check [56] donations,equipment [56] see,help [56] check,see [38] more,donate [38] need,more [38] donate,charity Top Word Pairs in Tweet in G10:
[29] #nptech,#fundraising [15] fundraising,success [14] learn,more [14] donation,form [14] donor,data [12] importing,exporting [12] don,worry [12] crm,don [12] fundraisers,use [12] manual,data 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:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: