The graph represents a network of 256 Twitter users whose tweets in the requested range contained "techsoup", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 July 2019 at 05:53 UTC.
The requested start date was Tuesday, 16 July 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 19-hour, 36-minute period from Tuesday, 02 July 2019 at 04:15 UTC to Monday, 15 July 2019 at 23:51 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 : 256
Unique Edges : 340
Edges With Duplicates : 282
Total Edges : 622
Number of Edge Types : 3
Mentions : 514
Replies to : 42
Tweet : 66
Self-Loops : 66
Reciprocated Vertex Pair Ratio : 0.115819209039548
Reciprocated Edge Ratio : 0.207594936708861
Connected Components : 28
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 190
Maximum Edges in a Connected Component : 486
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.745592
Graph Density : 0.00605085784313726
Modularity : 0.439316
NodeXL Version : 1.0.1.416
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[25] sign,up [24] ibmwatson,#artificialintelligence [24] #artificialintelligence,expert [24] expert,share [24] share,'super [24] 'super,humanising' [24] humanising',potential [24] potential,ai [24] ai,machine [24] machine,learning Top Word Pairs in Tweet in G1:
[9] 2019,report [9] nonprofits,save [9] save,average [9] average,17 [9] 17,000 [9] 000,techsoup [9] techsoup,donations [9] donations,save [9] save,focus [9] focus,mission Top Word Pairs in Tweet in G2:
[12] google,ad [7] nonprofit,more [7] more,vulnerable [7] vulnerable,think [7] think,targeted [7] targeted,cyber [7] cyber,attacks [7] attacks,nonprofit [7] nonprofit,potentially [6] techsoup,#net2 Top Word Pairs in Tweet in G3:
[10] #publicgoodapphouse,demo [9] july,26th [6] join,techsoup [6] techsoup,marnie [6] marnie,webb [6] webb,techsoup's [6] techsoup's,chief [6] chief,community [6] community,impact [6] impact,officer Top Word Pairs in Tweet in G5:
[24] ibmwatson,#artificialintelligence [24] #artificialintelligence,expert [24] expert,share [24] share,'super [24] 'super,humanising' [24] humanising',potential [24] potential,ai [24] ai,machine [24] machine,learning [20] sign,up Top Word Pairs in Tweet in G6:
[2] thank,following [2] following,missionbox [2] missionbox,check [2] check,out [2] out,great [2] great,organization [2] organization,below [2] below,helplinedelmor [2] helplinedelmor,ongkfc Top Word Pairs in Tweet in G7:
[9] great,see [9] see,new [9] new,non [9] non,profits [9] profits,utilize [9] software,donations [9] donations,through [9] through,expanded [9] expanded,program [9] program,techsoup Top Word Pairs in Tweet in G9:
[4] prijavite,pridobite [4] pridobite,sredstva [4] sredstva,za [4] za,izvedbo [4] izvedbo,dogodka [4] dogodka,kodiranja [4] kodiranja,link [3] nevladne,organizacije [3] organizacije,knjižnice [3] majatechsoup,prijavite Top Word Pairs in Tweet in G10:
[3] future,thinking [3] thinking,european [3] european,nonprofit [3] nonprofit,looking [3] looking,small [3] small,grants [3] grants,promote [3] promote,digital [3] digital,skills [3] skills,apply Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: