The graph represents a network of 497 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 Tuesday, 19 November 2019 at 15:31 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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, 14-hour, 42-minute period from Tuesday, 05 November 2019 at 01:53 UTC to Monday, 18 November 2019 at 16:35 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 : 497
Unique Edges : 651
Edges With Duplicates : 813
Total Edges : 1464
Number of Edge Types : 3
Tweet : 72
Mentions : 1337
Replies to : 55
Self-Loops : 72
Reciprocated Vertex Pair Ratio : 0.0888888888888889
Reciprocated Edge Ratio : 0.163265306122449
Connected Components : 40
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 431
Maximum Edges in a Connected Component : 1377
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.012614
Graph Density : 0.00337914584279873
Modularity : 0.417102
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 497 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 Tuesday, 19 November 2019 at 15:31 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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, 14-hour, 42-minute period from Tuesday, 05 November 2019 at 01:53 UTC to Monday, 18 November 2019 at 16:35 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 : techsoup
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[82] ã,ã [65] ù,ø [52] ø,ø [51] ø,ù [46] ð,ð [36] ù,ù [22] ð,ñ [22] ñ,ð [15] 3,700 [14] social,media Top Word Pairs in Tweet in G1:
[10] att,techsoup [5] nbc,tbs [5] tbs,msnbc [5] msnbc,cnn [5] cnn,foxnews [5] foxnews,comey [5] uscourts,deahq [5] deahq,fbi [5] fbi,att [5] techsoup,collincountygov Top Word Pairs in Tweet in G2:
[15] 3,700 [13] support,software [13] software,program [13] program,techsoup [13] techsoup,provided [13] provided,#dataprotection [13] #dataprotection,solutions [13] solutions,3 [13] 700,nonprofits [12] nonprofits,recently Top Word Pairs in Tweet in G3:
[11] techsoupeurope,techsoup [8] 2019,annual [8] annual,conference [7] techsoup,_evpa_ [6] organization,prepared [6] prepared,#disaster [6] #disaster,cameron [6] cameron,jones [6] jones,techsoup [6] techsoup,explains Top Word Pairs in Tweet in G4:
[5] techsoup,#net2 [4] three,ways [4] ways,attract [4] attract,millennials [4] millennials,nonprofit [4] social,media [4] #tampa,nonprofits [4] nonprofits,december [4] december,9 [4] 9,â Top Word Pairs in Tweet in G5:
[7] office,techsoup [7] techsoup,#sf [7] community,outreach [6] now,page [6] page,techsoup [6] techsoup,highlight [6] highlight,resources [6] resources,needed [6] needed,#nonprofits [6] #nonprofits,focused Top Word Pairs in Tweet in G6:
[4] social,media [3] gostivar,u [3] u,prezantua [3] prezantua,techsoup [3] techsoup,programi [3] programi,qã [3] qã,ju [3] ju,mundã [3] mundã,organizatave [3] organizatave,tã Top Word Pairs in Tweet in G7:
[5] women4good,techsoup [4] miad,lareina_marie [4] ada,lovelace [4] lovelace,gin [4] techsoup,women4good [4] women4good,#aiw4g [4] watching,ai4allorg [4] ai4allorg,colleague [4] colleague,#amychou [4] #amychou,moderate Top Word Pairs in Tweet in G8:
[13] na,voljo [9] techsoup,slovenija [8] nevladne,organizacije [7] za,nevladne [7] pri,techsoup [6] voljo,tudi [5] aws,amazon [5] amazon,web [5] web,services [5] services,prihaja Top Word Pairs in Tweet in G9:
[7] techsoup,days [5] due,giorni [4] sapevi,che [4] che,techsoup [4] techsoup,italia [4] italia,fa [4] fa,parte [4] parte,network [4] network,globale [4] globale,techsoup Top Word Pairs in Tweet in G10:
[6] keep,knowledge [6] knowledge,msexcel [6] msexcel,powerpoint [6] powerpoint,rest [6] rest,core [6] core,productivity [6] productivity,tools [6] tools,up [6] up,date [5] msftnonprofits,keep Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: