The graph represents a network of 356 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, 20 September 2021 at 17:56 UTC.
The requested start date was Monday, 20 September 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, 13-hour, 36-minute period from Monday, 06 September 2021 at 08:28 UTC to Sunday, 19 September 2021 at 22:04 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 : 356
Unique Edges : 135
Edges With Duplicates : 1612
Total Edges : 1747
Number of Edge Types : 5
Mentions : 77
Retweet : 805
MentionsInRetweet : 777
Tweet : 85
Replies to : 3
Self-Loops : 164
Reciprocated Vertex Pair Ratio : 0.026246719160105
Reciprocated Edge Ratio : 0.051150895140665
Connected Components : 36
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 245
Maximum Edges in a Connected Component : 1598
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.52546
Graph Density : 0.00309384396265232
Modularity : 0.208518
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 356 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, 20 September 2021 at 17:56 UTC.
The requested start date was Monday, 20 September 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, 13-hour, 36-minute period from Monday, 06 September 2021 at 08:28 UTC to Sunday, 19 September 2021 at 22:04 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:
[142] maximize,value [140] #ai,#data4good [128] #data,smarter [128] smarter,insights [118] cloud,pass [118] pass,tell [118] tell,always [118] always,changing [118] changing,life [118] life,change Top Word Pairs in Tweet in G1:
[136] maximize,value [121] #data,smarter [121] smarter,insights [112] cloud,pass [112] pass,tell [112] tell,always [112] always,changing [112] changing,life [112] life,change [112] change,light Top Word Pairs in Tweet in G2:
[124] #ai,#data4good [73] #wildlife,#conservation [45] artificial,intelligence [42] #data4good,#machinelearning [39] #100daysofcode,#python [37] #datascience,#100daysofcode [37] #data4good,#sustainability [35] #ai,#datascience [32] #data4good,#climate [32] #climate,#sustainability Top Word Pairs in Tweet in G3:
[10] using,data [8] #datascience,#data4good [8] great,hear [8] hear,cturpie [8] cturpie,stormid [8] stormid,using [8] data,#ml [8] #ml,improve [8] improve,patient's [8] patient's,experiences Top Word Pairs in Tweet in G4:
[12] #datascience,#data4good [10] wisconsin,utility [10] utility,turns [10] turns,#ai [10] #ai,reduce [10] reduce,wasted [10] wasted,power [10] power,#bigdata [10] #bigdata,#datascience [8] kirkdborne,wisconsin Top Word Pairs in Tweet in G5:
[3] piperlab_es,sassoftware [3] sassoftware,esthermoralesp [3] esthermoralesp,enriquepolo [3] enriquepolo,salesforcees [3] salesforcees,capitalradiob [3] capitalradiob,gracias [3] gracias,invitación [3] invitación,vemos [2] rojasadri26,piperlab_es [2] adriana,rojas Top Word Pairs in Tweet in G7:
[4] #data4good,#mapainversiones [4] #mapainversiones,herramienta [4] herramienta,clave [4] clave,mejorar [4] mejorar,eficiencia [4] eficiencia,#transparencia [4] #transparencia,inversiones [3] carlos_santiso,#data4good [3] inversiones,pub [2] data,gaps Top Word Pairs in Tweet in G8:
[2] icymi,check [2] check,full [2] full,conversation [2] conversation,surgo [2] surgo,analyst [2] analyst,jordan [2] jordan,downey [2] downey,momhealthdc [2] momhealthdc,mayorbowser's [2] mayorbowser's,team Top Word Pairs in Tweet in G9:
[6] direction,#marseille [6] #marseille,demain [6] demain,prise [6] prise,parole [6] parole,lors [6] lors,#pmf21 [6] #pmf21,parler [6] parler,#tourismedurable [6] #tourismedurable,enjeux [6] enjeux,bas Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Replied-To in G8:
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 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: