The graph represents a network of 1,529 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 13:43 UTC.
The tweets in the network were tweeted over the 3132-day, 6-hour, 14-minute period from Friday, 18 July 2014 at 15:09 UTC to Monday, 13 February 2023 at 21:24 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 : 1529
Unique Edges : 1431
Edges With Duplicates : 7814
Total Edges : 9245
Number of Edge Types : 9
Retweet : 2091
MentionsInRetweet : 3017
Mentions : 1721
Tweet : 1381
Quote : 484
Replies to : 161
MentionsInReplyTo : 236
MentionsInQuote : 142
MentionsInQuoteReply : 12
Self-Loops : 2690
Reciprocated Vertex Pair Ratio : 0.0847299813780261
Reciprocated Edge Ratio : 0.156223175965665
Connected Components : 127
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 1258
Maximum Edges in a Connected Component : 8731
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.60092
Graph Density : 0.000997298306048165
Modularity : 0.218025
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,529 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 13:43 UTC.
The tweets in the network were tweeted over the 3132-day, 6-hour, 14-minute period from Friday, 18 July 2014 at 15:09 UTC to Monday, 13 February 2023 at 21:24 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:
[490] #nonprofits,#nonprofit [472] #csr,#corpgov [315] #csuite,#hr [311] #corpgov,#hrtech [311] #legaltech,#csuite [306] #hrtech,#legaltech [296] #corpgov,#socialgood [287] #socialgood,#shrm [283] #shrm,#nonprofits [278] #salesforce,#csr Top Word Pairs in Tweet in G1:
[126] #nptech,#nonprofits [99] learn,more [52] 10am,pt [51] more,#nptech [45] #techsoupblog,#nptech [40] join,quad [39] digital,marketing [38] save,seat [38] optimize,technology [37] quad,receive Top Word Pairs in Tweet in G2:
[489] #nonprofits,#nonprofit [469] #csr,#corpgov [315] #csuite,#hr [311] #legaltech,#csuite [311] #corpgov,#hrtech [306] #hrtech,#legaltech [296] #corpgov,#socialgood [287] #socialgood,#shrm [283] #shrm,#nonprofits [278] #salesforce,#csr Top Word Pairs in Tweet in G3:
[232] #technology,#nptech [231] openmediaorg,fight [230] open,internet [229] fight,open [229] help,openmediaorg [227] donate,today [225] internet,donate [223] today,#technology [26] created,amazing [26] amazing,app Top Word Pairs in Tweet in G4:
[67] sfdopartners,#nptech [61] gt,gt [27] gt,sfdopartners [21] learn,more [13] #nptech,#assnchat [12] #df22,#nptech [10] #dreamforce2022,#df22 [10] wow,grateful [10] #assnchat,#nptech [10] marketing,cloud Top Word Pairs in Tweet in G5:
[11] #fundraising,#nptech [11] #nonprofit,#4change [11] #nptech,#techforgood [10] #4change,#csr [9] #socialgood,#charity [8] #charity,#fundraising [8] #csr,#socialgood [7] म,र [6] marketing,tools [6] #voluntourism,#microvolunteering Top Word Pairs in Tweet in G6:
[80] #nonprofit,#nptech [47] #fundraising,#nonprofit [44] #fundraising,#nptech [40] #nptech,#fundraising [30] #nptech,#nptechsuccess [22] #nptech,#nonprofit [18] learn,more [18] #dogood,#socialchange [17] #nptech,#dogood [15] today,#fundraising Top Word Pairs in Tweet in G7:
[2] free,mint Top Word Pairs in Tweet in G8:
[16] vanessaechase,funraise [16] funraise,#npomarketing [10] npo,considering [10] here's,tips [10] #techforgood,#nptech [10] podcasting,here's [10] considering,podcasting [10] tips,georgecaweiner [10] georgecaweiner,nonprofittimes [9] markalves,julia Top Word Pairs in Tweet in G9:
[8] community,unicornwitness [5] socially,relevant [4] community,learn [3] abeltxor,dthompsondev [3] prathkum,eddiejaoude [3] thanks,incredible [3] francescociull4,python_engineer [3] tech,team [3] unicornwitness,create [3] looking,thanks Top Word Pairs in Tweet in G10:
[16] #sfdc,#insurtech [12] #fintech,#nptech [12] blog,successfully [12] successfully,switch [11] henhouse,video [11] builders,#qa [11] test,#salesforce [11] asking,builders [11] guard,henhouse [11] #qa,test 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 G9:
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: