The graph represents a network of 368 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, 24 February 2020 at 19:09 UTC.
The requested start date was Monday, 24 February 2020 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, 15-hour, 48-minute period from Monday, 10 February 2020 at 07:02 UTC to Sunday, 23 February 2020 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 : 368
Unique Edges : 535
Edges With Duplicates : 188
Total Edges : 723
Number of Edge Types : 4
MentionsInRetweet : 521
Tweet : 62
Mentions : 135
Replies to : 5
Self-Loops : 62
Reciprocated Vertex Pair Ratio : 0.0254083484573503
Reciprocated Edge Ratio : 0.0495575221238938
Connected Components : 52
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 83
Maximum Edges in a Connected Component : 257
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.383371
Graph Density : 0.00418344982821941
Modularity : 0.684199
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 368 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, 24 February 2020 at 19:09 UTC.
The requested start date was Monday, 24 February 2020 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, 15-hour, 48-minute period from Monday, 10 February 2020 at 07:02 UTC to Sunday, 23 February 2020 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:
[34] #techforgood,#data4good [23] less,week [22] technology,lead [22] lead,wellcometrust [22] wellcometrust,less [22] week,left [22] left,apply [22] apply,great [22] great,team [22] team,health Top Word Pairs in Tweet in G1:
[18] participate,#wids [18] #wids,datathon [18] datathon,2020 [18] 2020,wids_conference [18] #wearable,patch [18] patch,uses [18] uses,#machinelearning [18] #machinelearning,detect [17] kirkdborne,participate [16] wids_conference,#womenindatascience Top Word Pairs in Tweet in G2:
[34] #techforgood,#data4good [12] snglflyinglabs,drone [12] drone,pilot [12] pilot,certification [12] certification,training [12] training,march [12] march,16 [12] 16,20 [11] redwing,aerospace [11] aerospace,lab Top Word Pairs in Tweet in G3:
[22] technology,lead [22] lead,wellcometrust [22] wellcometrust,less [22] less,week [22] week,left [22] left,apply [22] apply,great [22] great,team [22] team,health [22] health,policy Top Word Pairs in Tweet in G4:
[10] today,celebrating [10] celebrating,#womeninscience [10] #womeninscience,know [10] know,reread [10] reread,profile [10] profile,red_abebe [10] red_abebe,vscoleman [9] rockefellerfdn,today [9] vscoleman,sonalr [7] thrilled,see Top Word Pairs in Tweet in G5:
[17] today,doing [17] doing,sql [17] sql,server [17] server,pricing [17] pricing,man [17] man,knew [17] knew,#microsoft [17] #microsoft,generous [17] generous,non [17] non,profits Top Word Pairs in Tweet in G6:
[4] #visualanalytics,#sasviya [3] worried,rise [3] rise,temperatures [3] temperatures,study [3] study,datas [3] datas,#visualanalytics [3] #sasviya,understand [3] understand,evolution [3] evolution,reasons [3] reasons,watch Top Word Pairs in Tweet in G7:
[9] join,wait [9] wait,list [9] #data,#climatechange [9] #climatechange,event [9] event,sold [7] latech4good,join [5] list,#data [5] sold,gabriel [5] gabriel,rene [4] rene,spe Top Word Pairs in Tweet in G8:
[6] #data4good,#job [6] #job,alert [6] looking,hire [4] data,science [4] hire,data [3] worthwhile,weekend [3] weekend,read [3] read,friends [3] friends,nesta_uk [3] nesta_uk,live Top Word Pairs in Tweet in G9:
[11] estudio,publicado [11] publicado,circaha [11] circaha,demuestra [11] demuestra,posible [11] posible,predecir [11] predecir,ataques [11] ataques,cardíacos [11] cardíacos,aplicando [11] aplicando,#artificialintelligence [10] jcaiceo,estudio Top Replied-To in Entire Graph:
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 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: