The graph represents a network of 300 Twitter users whose recent tweets contained "Union Reno", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 21 February 2020 at 05:39 UTC.
The tweets in the network were tweeted over the 9-day, 9-hour, 53-minute period from Tuesday, 11 February 2020 at 17:03 UTC to Friday, 21 February 2020 at 02:57 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 : 300
Unique Edges : 503
Edges With Duplicates : 25
Total Edges : 528
Number of Edge Types : 5
Replies to : 53
Mentions : 39
Retweet : 94
Tweet : 33
MentionsInRetweet : 309
Self-Loops : 35
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 40
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 85
Maximum Edges in a Connected Component : 218
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.339591
Graph Density : 0.0054180602006689
Modularity : 0.680571
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 300 Twitter users whose recent tweets contained "Union Reno", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 21 February 2020 at 05:39 UTC.
The tweets in the network were tweeted over the 9-day, 9-hour, 53-minute period from Tuesday, 11 February 2020 at 17:03 UTC to Friday, 21 February 2020 at 02:57 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 : TwitterSearch
Graph Term : Union Reno
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:
[103] union,workers [71] latest,petebuttigieg [71] petebuttigieg,tv [71] tv,ad [71] ad,targeting [71] targeting,union [71] workers,others [71] others,concerned [71] concerned,losing [71] losing,private Top Word Pairs in Tweet in G1:
[62] voting,#biden [31] re,definitely [31] definitely,voting [31] #biden,think [31] think,bloomberg [31] bloomberg,confusing [31] confusing,few [31] few,hispanic [31] hispanic,voters [31] voters,talked Top Word Pairs in Tweet in G2:
[71] latest,petebuttigieg [71] petebuttigieg,tv [71] tv,ad [71] ad,targeting [71] targeting,union [71] union,workers [71] workers,others [71] others,concerned [71] concerned,losing [71] losing,private Top Word Pairs in Tweet in G3:
[16] here's,culinary [16] culinary,union [16] union,members [16] members,vegas [16] vegas,reno [16] reno,nevada [16] nevada,resident [16] resident,caucus [16] caucus,bernie [16] bernie,sanders Top Word Pairs in Tweet in G4:
[13] reno,tabling [13] tabling,one [13] one,early [13] early,voting [13] voting,sites [13] sites,convincing [13] convincing,people [13] people,put [13] put,chief [13] chief,location Top Word Pairs in Tweet in G5:
[12] met,yorkers [12] yorkers,dudes [12] dudes,arizona [12] arizona,teachers [12] teachers,union [12] union,people [12] people,reno [12] reno,boston [12] boston,amsterdam [12] amsterdam,london Top Word Pairs in Tweet in G6:
[4] 60,000 [3] culinary,union [3] vegas,reno [2] represents,60 [2] 000,workers [2] culinary,workers [2] workers,union [2] soldiers,western [2] western,frontier [2] frontier,fort Top Word Pairs in Tweet in G7:
[4] vuelven,aprehender [4] aprehender,óscar [4] óscar,flores [4] flores,lunares [4] lunares,líder [4] líder,unión [4] unión,tepito [4] tepito,tercera [4] tercera,vuelta [4] vuelta,prisión Top Word Pairs in Tweet in G8:
[6] #bigus,#nevada [6] #nevada,indigenous [6] indigenous,students [6] students,discussion [6] discussion,ericdescheenie [6] ericdescheenie,thursday [6] thursday,february [6] february,13 [6] 13,11am [6] 11am,university Top Word Pairs in Tweet in G9:
[7] bernie,know [7] know,difference [7] difference,between [7] between,deductible [7] deductible,copay [7] copay,six [7] six,months [7] months,ago [7] ago,believe [7] believe,someone Top Word Pairs in Tweet in G10:
[4] modern,forms [2] interpret,constitutional [2] constitutional,rights [2] rights,way [2] way,first [2] first,amendment [2] amendment,protects [2] protects,modern [2] forms,communications [2] communications,reno Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G7:
Top Mentioned in G8:
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: