The graph represents a network of 3,776 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 00:49 UTC.
The tweets in the network were tweeted over the 1965-day, 8-hour, 50-minute period from Tuesday, 24 October 2017 at 15:09 UTC to Monday, 13 March 2023 at 00:00 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 : 3776
Unique Edges : 2210
Edges With Duplicates : 8873
Total Edges : 11083
Number of Edge Types : 9
Retweet : 3587
MentionsInRetweet : 4647
Replies to : 365
MentionsInReplyTo : 525
Tweet : 969
Quote : 106
MentionsInQuote : 74
Mentions : 754
MentionsInQuoteReply : 56
Self-Loops : 1342
Reciprocated Vertex Pair Ratio : 0.0335715832791856
Reciprocated Edge Ratio : 0.0649622799664711
Connected Components : 519
Single-Vertex Connected Components : 260
Maximum Vertices in a Connected Component : 2458
Maximum Edges in a Connected Component : 8604
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.110095
Graph Density : 0.000334773824222696
Modularity : 0.407713
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,776 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 00:49 UTC.
The tweets in the network were tweeted over the 1965-day, 8-hour, 50-minute period from Tuesday, 24 October 2017 at 15:09 UTC to Monday, 13 March 2023 at 00:00 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:
[343] women's,day [343] international,women's [328] female,researchers [315] mapped,female [315] day,mapped [315] according,unesco [315] europe,according [315] researchers,europe [315] unesco,data [314] milos_agathon,international Top Word Pairs in Tweet in G1:
[110] #gis,#geospatial [56] united,states [52] time,03 [52] region,southern [52] lat,lon [52] southern,hemisphere [52] hemisphere,time [52] #cyclonefreddy,activity [52] activity,lat [46] #gischat,#geospatial Top Word Pairs in Tweet in G2:
[287] unesco,data [287] women's,day [287] international,women's [287] mapped,female [287] according,unesco [287] europe,according [287] female,researchers [287] day,mapped [287] researchers,europe [286] milos_agathon,international Top Word Pairs in Tweet in G3:
[55] geospatial,data [15] geospatial,intelligence [11] national,security [11] jack,dangermond [11] axim,geospatial [11] geospatial,technology [10] security,contracts [10] geospatial,information [10] position,description [9] geospatial,world Top Word Pairs in Tweet in G4:
[77] map,showing [75] geospatial,analysis [54] python,package [53] package,interactive [53] coding,jupyter [53] mapping,geospatial [53] interactive,mapping [53] #leafmap,python [53] analysis,minimal [53] minimal,coding Top Word Pairs in Tweet in G5:
[159] crime,data [159] #nyc,crime [159] #nosql,#timeseries [158] join,#geospatial [158] #griddb,#iot [158] #geospatial,analysis [158] #iot,#nosql [158] analysis,#nyc [158] data,#griddb [157] griddbcommunity,join Top Word Pairs in Tweet in G6:
[18] geospatial,information [18] co,chair [16] shares,thoughts [16] #internationalwomensday,palomamerodio [16] palomamerodio,co [16] chair,unggim [16] thoughts,geospatial [16] unggim,shares [15] unggim,#internationalwomensday [13] happy,#internationalwomensday Top Word Pairs in Tweet in G7:
[28] geospatial,data [16] un_mappers,mr [12] ed,rebeccafirthy [12] geospatial,field [12] rebeccafirthy,speaking [12] online,event [12] event,international [12] interim,ed [12] career,geospatial [12] hot's,interim Top Word Pairs in Tweet in G8:
[84] although,georgewbarros [84] georgewbarros,geospatial [84] control,although [84] under,russian [84] estimates,50 [84] #bakhmut,under [84] isw,estimates [84] russian,control [84] 50,#bakhmut [82] geospatial,intelligen Top Word Pairs in Tweet in G9:
[25] #geemap,#leafmap [22] #docker,hub [22] start,using [22] docker,run [22] command,command [22] hub,start [22] single,command [22] using,single [22] available,#docker [22] both,#geemap Top Word Pairs in Tweet in G10:
[22] amazing,women [16] success,organization [16] #awigis,team [16] volunteers,year [16] contribute,success [16] organization,#awigis [16] meet,amazing [16] team,volunteers [16] women,contribute [15] africwomeningis,meet Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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: