The graph represents a network of 332 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, 01 November 2021 at 17:56 UTC.
The requested start date was Monday, 01 November 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 12-day, 9-hour, 21-minute period from Monday, 18 October 2021 at 06:05 UTC to Saturday, 30 October 2021 at 15:26 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 : 332
Unique Edges : 182
Edges With Duplicates : 785
Total Edges : 967
Number of Edge Types : 5
Retweet : 365
MentionsInRetweet : 415
Tweet : 81
Mentions : 103
Replies to : 3
Self-Loops : 116
Reciprocated Vertex Pair Ratio : 0.0267379679144385
Reciprocated Edge Ratio : 0.0520833333333333
Connected Components : 44
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 173
Maximum Edges in a Connected Component : 647
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.397053
Graph Density : 0.00349433989735377
Modularity : 0.375052
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 332 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, 01 November 2021 at 17:56 UTC.
The requested start date was Monday, 01 November 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 12-day, 9-hour, 21-minute period from Monday, 18 October 2021 at 06:05 UTC to Saturday, 30 October 2021 at 15:26 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:
[119] reveal,sides [78] see,ourselves [78] ourselves,perspective [78] perspective,perspective [78] perspective,mirror [78] mirror,make [78] make,experience [78] experience,strength [78] strength,#cx [78] #cx,reveal Top Word Pairs in Tweet in G1:
[119] reveal,sides [78] see,ourselves [78] ourselves,perspective [78] perspective,perspective [78] perspective,mirror [78] mirror,make [78] make,experience [78] experience,strength [78] strength,#cx [78] #cx,reveal Top Word Pairs in Tweet in G2:
[29] #fintech,#finserv [29] #finserv,#insurtech [29] #insurtech,#legaltech [29] #legaltech,#corpgov [29] #corpgov,#digitaltransformation [29] #digitaltransformation,#futureofwork [29] #futureofwork,#csr [29] #csr,#esg [29] #esg,#banking [23] martinhoyes,#regtech Top Word Pairs in Tweet in G3:
[16] artificial,intelligence [12] #ai,#machinelearning [11] explore,artificial [11] intelligence,#ai [11] #machinelearning,technologies [11] technologies,helping [11] helping,advance [11] advance,earth [11] earth,monitoring [10] kirkdborne,explore Top Word Pairs in Tweet in G5:
[5] #biodiversity,#data4good [4] data,technology [4] minutes,#tdwg2021 [4] #tdwg2021,begins [4] begins,keynote [4] keynote,wwf [4] wwf,aruhweza [4] aruhweza,talking [4] talking,#biodiversity [4] #data4good,using Top Word Pairs in Tweet in G6:
[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 G7:
[9] data,#renewable [9] #renewable,oil [9] oil,raconteur [9] raconteur,xbond49 [9] xbond49,#futureofwork [9] #futureofwork,#ai [9] #ai,#fintech [8] mvollmer1,data [8] #fintech,#machinelearn Top Word Pairs in Tweet in G8:
[3] already,hiring [3] hiring,part [3] part,ground [3] ground,breaking [3] breaking,joint [3] joint,faculty [3] faculty,group [3] group,check [3] check,job [3] job,openings Top Word Pairs in Tweet in G10:
[7] looking,forward [7] forward,tomorrow's [7] tomorrow's,datasciencenig [7] datasciencenig,#aibootcamp2021 [7] #aibootcamp2021,team [7] team,delivering [7] delivering,workshops [6] flowminder,looking [6] workshops,grid3glob Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G10: