The graph represents a network of 4,513 Twitter users whose tweets in the requested range contained "geospatial", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 May 2020 at 19:48 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 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 9-day, 4-hour, 17-minute period from Friday, 15 May 2020 at 19:31 UTC to Sunday, 24 May 2020 at 23:49 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 : 4513
Unique Edges : 2598
Edges With Duplicates : 7899
Total Edges : 10497
Number of Edge Types : 5
Retweet : 3567
MentionsInRetweet : 4709
Tweet : 977
Mentions : 1008
Replies to : 236
Self-Loops : 1026
Reciprocated Vertex Pair Ratio : 0.0259593679458239
Reciprocated Edge Ratio : 0.0506050605060506
Connected Components : 614
Single-Vertex Connected Components : 311
Maximum Vertices in a Connected Component : 2756
Maximum Edges in a Connected Component : 7616
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.323911
Graph Density : 0.000267843251882269
Modularity : 0.503149
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,513 Twitter users whose tweets in the requested range contained "geospatial", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 May 2020 at 19:48 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 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 9-day, 4-hour, 17-minute period from Friday, 15 May 2020 at 19:31 UTC to Sunday, 24 May 2020 at 23:49 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 : geospatial
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 G2:
[35] mapscaping,underdarkgis [26] underdarkgis,thanks [17] thanks,joining [15] joining,podcast [15] podcast,week [13] week,sharing [13] sharing,insights [12] insights,python [11] python,geospatial [11] two,great Top Word Pairs in Tweet in G3:
[49] jones,geospatial [25] geospatial,scientist [25] scientist,lauded [25] lauded,designing [25] designing,florida's [25] florida's,#covid19 [25] #covid19,dashboard [25] dashboard,desantis [25] desantis,liar [23] beyerstein,jones Top Word Pairs in Tweet in G4:
[222] contact,tracing [222] mayor,magalong [222] magalong,best [222] best,contact [222] tracing,methodology [222] methodology,whole [222] whole,philippines [222] philippines,bar [222] bar,none [221] none,case Top Word Pairs in Tweet in G5:
[215] geospatial,data [214] data,python [214] #jupyter,notebook [214] spatial,data [214] notebook,using [214] visualizing,geospatial [214] #datascience,#ai [214] machine,learning [214] #bigdata,#datascience [214] #ai,#machinelearning Top Word Pairs in Tweet in G6:
[66] #geospatial,data [58] role,#geospatial [26] find,spiritual [24] spiritual,leader [24] leader,sri [22] sri,sri [18] sri,ravi [18] ravi,shankar [17] shankar,role [15] data,building Top Word Pairs in Tweet in G7:
[33] #bigdata,#analytics [32] #ai,#machinelearning [30] #machinelearning,#iot [30] #datascience,#ai [30] #analytics,#datascience [30] #books,#bigdata [30] #analytics,#geospatial [30] #geospatial,#gis [30] #iot,#iiot [30] #opensource,#geospatial Top Word Pairs in Tweet in G8:
[215] #gis,#geospatial [162] #arcgispro,#gis [159] experiment,today [144] today,lidar [143] lidar,point [135] point,return [114] return,classes [114] classes,entirety [95] entirety,washington [93] washington,#arcgispro Top Word Pairs in Tweet in G9:
[72] investigation,recent [70] recent,#indosino [69] #indosino,tensions [69] tensions,#galwan [69] #galwan,area [69] area,geospatial [69] geospatial,data [69] data,helps [69] helps,identify [69] identify,ongoing Top Word Pairs in Tweet in G10:
[97] private,firms [97] firms,startups [97] government,allow [97] allow,private [97] startups,use [97] use,infrastructure [97] infrastructure,facilities [97] facilities,india's [97] india's,space [97] space,agency Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
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: