The graph represents a network of 3,922 Twitter users whose recent tweets contained "geospatial", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 00:49 UTC.
The tweets in the network were tweeted over the 2116-day, 1-hour, 55-minute period from Friday, 19 May 2017 at 23:04 UTC to Monday, 06 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3922
Unique Edges : 3883
Edges With Duplicates : 8790
Total Edges : 12673
Number of Edge Types : 9
Retweet : 3460
MentionsInRetweet : 5807
Tweet : 1034
Replies to : 416
MentionsInReplyTo : 916
Mentions : 770
MentionsInQuote : 110
Quote : 95
MentionsInQuoteReply : 65
Self-Loops : 1387
Reciprocated Vertex Pair Ratio : 0.0272108843537415
Reciprocated Edge Ratio : 0.0529801324503311
Connected Components : 576
Single-Vertex Connected Components : 314
Maximum Vertices in a Connected Component : 2424
Maximum Edges in a Connected Component : 9609
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.184165
Graph Density : 0.000422222109508275
Modularity : 0.47536
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,922 Twitter users whose recent tweets contained "geospatial", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 00:49 UTC.
The tweets in the network were tweeted over the 2116-day, 1-hour, 55-minute period from Friday, 19 May 2017 at 23:04 UTC to Monday, 06 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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 Entire Graph:
[325] geospatial,data [255] learn,develop [253] semester,students [253] develop,#opensource [253] geographic,software [253] design,geog [253] #opensource,packages [253] teaching,geographic [253] students,learn [253] geog,510 Top Word Pairs in Tweet in G1:
[76] #gis,#geospatial [66] region,southern [66] lat,lon [66] southern,hemisphere [66] hemisphere,time [66] activity,lat [51] tennyapps,#cyclone [50] map,showing [49] #geospatial,trends [45] esri,esriypn Top Word Pairs in Tweet in G2:
[211] design,geog [211] teaching,geographic [211] geographic,software [211] learn,develop [211] semester,students [211] develop,#opensource [211] 510,semester [211] #opensource,packages [211] geog,510 [211] software,design Top Word Pairs in Tweet in G3:
[71] geospatial,data [19] geospatial,information [15] information,authority [14] chloris,geospatial [14] geospatial,technology [13] army,extends [13] maxar,contract [13] location,data [13] geospatial,intelligence [13] 3d,geospatial Top Word Pairs in Tweet in G4:
[181] #geospatial,analysis [175] crime,data [175] #nyc,crime [175] #nosql,#timeseries [174] join,#geospatial [174] #griddb,#iot [174] #iot,#nosql [174] analysis,#nyc [174] data,#griddb [173] griddbcommunity,join Top Word Pairs in Tweet in G5:
[153] india_soi,drjitendrasingh [153] indiadst,srivaric [153] agiindia,deployed [153] geoworldmedia,agiindia [153] srivaric,india_soi [153] deployed,lot [153] sgi_soi,ficci_india [153] ficci_india,geoworldmedia [153] drjitendrasingh,sgi_soi [152] sukant_khurana,indiadst Top Word Pairs in Tweet in G6:
[34] geographic,location [33] #un54sc,welcomed [33] highlights,selected [33] location,highlights [33] selected,best [33] welcomed,paper [33] disaggregation,sdg [33] paper,disaggregation [33] indicators,geographic [33] sdg,indicators Top Word Pairs in Tweet in G7:
[22] geospatial,data [21] hey,#remotesensing [21] release,#cubo [21] announce,first [21] #remotesensing,folks [21] #cubo,lovely [21] first,release [21] lovely,#python [21] folks,happy [21] easily,creating Top Word Pairs in Tweet in G8:
[22] full,time [22] posted,join [22] team,live [22] analyst,gig [22] gis,analyst [22] open,living [22] time,gis [22] growing,gis [22] gis,team [22] join,growing Top Word Pairs in Tweet in G9:
[19] geospatial,data [18] #geospatial,#remotesensing [17] #jobopportunity,#geospatial [17] #datascience,#datawarehouse [17] #businessintelligence,#bigdata [17] geospatial,duckdb [17] #databases,#datascience [17] #aws,#businessintelligence [17] #bigdata,#data [17] daily,job Top Word Pairs in Tweet in G10:
[41] physical,water [41] droughts,pollution [41] lead,growing [41] increasing,physical [41] growing,tensions [41] worldwide,flooding [41] risks,worldwide [41] pollution,lead [41] flooding,droughts [41] water,risks Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: