The graph represents a network of 1,543 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 13:44 UTC.
The tweets in the network were tweeted over the 3153-day, 7-hour, 51-minute period from Friday, 18 July 2014 at 15:09 UTC to Monday, 06 March 2023 at 23:00 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 : 1543
Unique Edges : 1439
Edges With Duplicates : 7707
Total Edges : 9146
Number of Edge Types : 9
Retweet : 2038
MentionsInRetweet : 2940
Mentions : 1736
Tweet : 1422
Quote : 449
Replies to : 162
MentionsInReplyTo : 249
MentionsInQuote : 138
MentionsInQuoteReply : 12
Self-Loops : 2676
Reciprocated Vertex Pair Ratio : 0.0834498834498835
Reciprocated Edge Ratio : 0.154044750430293
Connected Components : 130
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 1265
Maximum Edges in a Connected Component : 8574
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.892968
Graph Density : 0.000976755406828714
Modularity : 0.216997
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,543 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 13:44 UTC.
The tweets in the network were tweeted over the 3153-day, 7-hour, 51-minute period from Friday, 18 July 2014 at 15:09 UTC to Monday, 06 March 2023 at 23:00 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 [290] #csuite,#hr [287] #socialgood,#shrm [283] #shrm,#nonprofits [278] #salesforce,#csr Top Word Pairs in Tweet in G1:
[132] #nptech,#nonprofits [102] learn,more [58] 10am,pt [55] more,#nptech [47] #techsoupblog,#nptech [40] join,quad [38] optimize,technology [37] quad,receive [37] members,discounts [37] personalized,advice Top Word Pairs in Tweet in G2:
[239] #technology,#nptech [237] openmediaorg,fight [237] open,internet [235] help,openmediaorg [235] fight,open [232] donate,today [230] internet,donate [228] today,#technology [6] bill,11 [5] #free,#internet Top Word Pairs in Tweet in G3:
[486] #nonprofits,#nonprofit [469] #csr,#corpgov [311] #legaltech,#csuite [309] #corpgov,#hrtech [306] #hrtech,#legaltech [296] #corpgov,#socialgood [290] #csuite,#hr [287] #socialgood,#shrm [283] #shrm,#nonprofits [278] #salesforce,#csr Top Word Pairs in Tweet in G4:
[26] tech,comes [26] comes,next [23] social,media [10] nonprofit,website [10] intentional,choices [9] technology,created [9] doesn,naturally [9] humans,doesn [9] naturally,exist [9] looking,forward Top Word Pairs in Tweet in G5:
[71] sfdopartners,#nptech [65] gt,gt [28] gt,sfdopartners [22] learn,more [14] #nptech,#assnchat [12] #df22,#nptech [10] #dreamforce2022,#df22 [10] wow,grateful [10] #assnchat,#nptech [10] marketing,cloud Top Word Pairs in Tweet in G6:
[12] #nptech,#techforgood [12] #nonprofit,#4change [11] #4change,#csr [11] #fundraising,#nptech [9] #socialgood,#charity [9] #csr,#socialgood [8] #charity,#fundraising [7] म,र [6] #nptech,#charitytuesday [6] #techforgood,#cdwsocial Top Word Pairs in Tweet in G7:
[12] engaging,networks [11] #nptech,#fundraising [10] learn,more [7] #philanthropy,#nptech [6] #fundraising,#nptech [5] universal,analytics [5] end,life [5] know,google [5] award,time [5] each,attendee Top Word Pairs in Tweet in G8:
[49] #nonprofit,#nptech [45] #fundraising,#nonprofit [33] #fundraising,#nptech [25] #nptech,#dogood [24] #dogood,#socialchange [18] today,#fundraising [15] #nptech,#nonprofit [10] #nptech,#philanthropy [9] find,partner [9] markalves,julia 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 [37] more,donate [37] need,more [37] donate,charity Top Word Pairs in Tweet in G10:
[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 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 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: