The graph represents a network of 496 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, 31 May 2021 at 17:57 UTC.
The requested start date was Monday, 31 May 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, 7-hour, 7-minute period from Monday, 17 May 2021 at 09:59 UTC to Sunday, 30 May 2021 at 17:07 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 : 496
Unique Edges : 398
Edges With Duplicates : 1562
Total Edges : 1960
Number of Edge Types : 5
Retweet : 694
MentionsInRetweet : 936
Mentions : 229
Tweet : 93
Replies to : 8
Self-Loops : 134
Reciprocated Vertex Pair Ratio : 0.0443213296398892
Reciprocated Edge Ratio : 0.0848806366047745
Connected Components : 48
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 365
Maximum Edges in a Connected Component : 1735
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.713393
Graph Density : 0.00307103290974259
Modularity : 0.335514
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 496 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, 31 May 2021 at 17:57 UTC.
The requested start date was Monday, 31 May 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, 7-hour, 7-minute period from Monday, 17 May 2021 at 09:59 UTC to Sunday, 30 May 2021 at 17:07 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:
[115] discover,#data [101] gain,insight [100] focus,really [100] really,go [100] go,journey [100] journey,discover [100] #data,gain [100] insight,future [100] future,#dataanalytics [99] ume_kyd,focus Top Word Pairs in Tweet in G1:
[112] discover,#data [98] gain,insight [97] focus,really [97] really,go [97] go,journey [97] journey,discover [97] #data,gain [97] insight,future [97] future,#dataanalytics [96] ume_kyd,focus Top Word Pairs in Tweet in G2:
[13] influencers,#data4good [13] ume_kyd,johngmcnutt [13] johngmcnutt,johnmaynardcpa [10] top,influencers [10] #data4good,#nodexl [10] #nodexl,ume_kyd [10] johnmaynardcpa,data4goodfest [9] artificial,intelligence [9] intelligence,predicts [9] predicts,river Top Word Pairs in Tweet in G3:
[20] artificial,intelligence [20] intelligence,predicts [20] predicts,river [20] river,water [20] water,quality [20] quality,weather [20] weather,data [20] data,#ai [19] #data4good,evankirstel [14] #ai,#waterquality Top Word Pairs in Tweet in G4:
[9] #hackinsas,data [9] sponsored,sassoftware [7] data,hackathon [7] winners,announced [7] increasing,role [7] role,#iot [7] #iot,#sustainability [7] #sustainability,addressing [7] addressing,current [7] current,environmental Top Word Pairs in Tweet in G5:
[68] #data4good,#climate [68] #climate,#sustainability [42] artificial,intelligence [42] intelligence,predicts [42] predicts,river [42] river,water [42] water,quality [42] quality,weather [42] weather,data [42] data,#ai Top Word Pairs in Tweet in G6:
[5] state,#mentalhealth [5] #mentalhealth,agencies [3] agencies,public [3] public,moral [3] moral,duty [3] duty,link [3] link,systems [3] systems,data [3] data,better [3] better,help Top Word Pairs in Tweet in G7:
[6] bc3research,bcambilbao [6] online,course [4] registrations,deadline [4] deadline,bc3research [4] bcambilbao,online [4] course,#ai4sustainability [4] #ai4sustainability,approaching [4] approaching,fast [4] fast,don [3] google,leveraging Top Word Pairs in Tweet in G8:
[19] webinar,leveraging [19] leveraging,data [19] data,improve [19] improve,toronto [17] toronto,delivery [17] delivery,#affordablehousing [16] #affordablehousing,thursday [16] thursday,27 [16] 27,2021 [16] 2021,11 Top Word Pairs in Tweet in G9:
[5] state,#mentalhealth [5] #mentalhealth,leaders [5] leaders,drjosh [5] drjosh,discuss [5] discuss,#wholepersoncare [5] #wholepersoncare,obligation [5] obligation,link [5] link,data [5] data,systems [5] systems,improve Top Word Pairs in Tweet in G10:
[20] data,science [10] yes,data [10] science,interdisciplinary [10] interdisciplinary,transdisciplinary [10] transdisciplinary,team [10] team,sport [10] sport,makes [10] makes,good [10] good,data [10] science,project Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G8:
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: