The graph represents a network of 339 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 October 2021 at 17:56 UTC.
The requested start date was Monday, 25 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 9-hour, 1-minute period from Monday, 11 October 2021 at 13:50 UTC to Sunday, 24 October 2021 at 22:51 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 : 339
Unique Edges : 191
Edges With Duplicates : 904
Total Edges : 1095
Number of Edge Types : 5
Retweet : 440
MentionsInRetweet : 458
Mentions : 105
Tweet : 86
Replies to : 6
Self-Loops : 155
Reciprocated Vertex Pair Ratio : 0.0394736842105263
Reciprocated Edge Ratio : 0.0759493670886076
Connected Components : 46
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 140
Maximum Edges in a Connected Component : 621
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.872719
Graph Density : 0.00344731284145852
Modularity : 0.347669
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 339 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 October 2021 at 17:56 UTC.
The requested start date was Monday, 25 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 9-hour, 1-minute period from Monday, 11 October 2021 at 13:50 UTC to Sunday, 24 October 2021 at 22:51 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #data4good
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:
[128] sides,#data [118] make,better [106] reveal,sides [99] things,seen [99] seen,without [99] without,spreading [99] spreading,wings [99] wings,unleash [99] unleash,possibilities [99] possibilities,reveal Top Word Pairs in Tweet in G1:
[128] sides,#data [117] make,better [106] reveal,sides [99] things,seen [99] seen,without [99] without,spreading [99] spreading,wings [99] wings,unleash [99] unleash,possibilities [99] possibilities,reveal Top Word Pairs in Tweet in G2:
[4] #equality,#diversity [4] #diversity,#inclusion [4] #inclusion,#data [4] #data,#analysis [4] #analysis,one [4] one,favourite [4] favourite,areas [4] areas,#data4good [4] #data4good,field [3] data_orchard,#equality Top Word Pairs in Tweet in G3:
[4] ai,help [4] help,utilities [4] utilities,everything [4] everything,better [4] better,predicting [4] predicting,loads [4] loads,lessening [4] lessening,wildfire [4] wildfire,risks [4] risks,recent Top Word Pairs in Tweet in G4:
[18] #bigdata,#datascience [16] #ai,#precisionmedicine [16] #precisionmedicine,better [16] better,#healthcare [16] #healthcare,#bigdata [16] #datascience,#ai4good [14] kirkdborne,#ai [14] #ai4good,#data4g [8] #ai,#machinelearning [7] explore,artificial Top Word Pairs in Tweet in G5:
[13] register,#correlcon [13] #correlcon,annual [13] annual,online [13] online,conference [13] conference,join [13] join,nov [13] nov,12 [13] 12,13 [13] 13,learn [13] learn,more Top Word Pairs in Tweet in G6:
[7] #tdwg2021,biodiversity [7] biodiversity,standards [7] standards,conference [7] conference,begins [7] begins,tomorrow [7] tomorrow,monday [7] monday,18th [7] 18th,october [7] october,2021 [7] 2021,aruhweza Top Word Pairs in Tweet in G7:
[10] demo,day [9] undp,colleagues [9] colleagues,unvolunteers [9] day,fall [9] fall,2021 [6] welcoming,undp [6] unvolunteers,demo [6] 2021,thank [6] thank,dr_babs [6] dr_babs,rsabayeva Top Word Pairs in Tweet in G8:
[2] door,ai [2] ai,model [2] model,voeden [2] voeden,met [2] met,menselijke [2] menselijke,observaties [2] observaties,zal [2] zal,steeds [2] steeds,beter [2] beter,verdachte Top Word Pairs in Tweet in G9:
[6] data,#renewable [6] #renewable,oil [6] oil,raconteur [6] raconteur,xbond49 [6] xbond49,#futureofwork [6] #futureofwork,#ai [6] #ai,#fintech [5] mvollmer1,data [5] #fintech,#machinelearn Top Word Pairs in Tweet in G10:
[3] dataforgoodyyc,spreading [3] spreading,word [3] word,yycdatasociety [3] yycdatasociety,platformcalgary [3] platformcalgary,rainforestab [3] rainforestab,data_for_good [2] dataforgoodyyc,dataforgoodyyc [2] data_for_good,# Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G6:
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: