The graph represents a network of 4,030 Twitter users whose recent tweets contained "#HB2020", 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, 28 June 2019 at 17:04 UTC.
The tweets in the network were tweeted over the 9-day, 14-hour, 45-minute period from Wednesday, 19 June 2019 at 02:10 UTC to Friday, 28 June 2019 at 16:56 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 : 4030
Unique Edges : 6953
Edges With Duplicates : 4717
Total Edges : 11670
Self-Loops : 949
Reciprocated Vertex Pair Ratio : 0.0161455663762173
Reciprocated Edge Ratio : 0.0317780580075662
Connected Components : 113
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 3838
Maximum Edges in a Connected Component : 11467
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.256206
Graph Density : 0.000488394622855267
Modularity : 0.450274
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2423] #orpol,#orleg [1904] #capkillsjobs,#hb2020 [1893] #orleg,#capkillsjobs [1679] senate,democrats [1279] capitol,senate [1278] lays,siege [1275] oregon's,capitol [1274] siege,oregon's [1269] armed,militia [1263] militia,lays Top Word Pairs in Tweet in G1:
[1561] #orpol,#orleg [1444] #orleg,#capkillsjobs [1436] senate,democrats [1399] #capkillsjobs,#hb2020 [1224] oregon's,capitol [1224] capitol,senate [1223] lays,siege [1223] siege,oregon's [1214] armed,militia [1212] militia,lays Top Word Pairs in Tweet in G2:
[289] cap,trade [274] #hb2020,cap [273] republican,senators [273] walked,out [270] oregon,republican [266] senators,who've [266] who've,walked [266] out,#hb2020 [266] trade,vote [266] vote,representing Top Word Pairs in Tweet in G3:
[696] #orpol,#orleg [461] #capkillsjobs,#hb2020 [404] #orleg,#capkillsjobs [388] #hb2020,#oregon11 [253] #hb2020,#capkillsjobs [189] senate,democrats [130] #orleg,#orpol [105] #oregon11,#hb2020 [101] cap,trade [93] #oregon11,#timberunity Top Word Pairs in Tweet in G4:
[38] loggers,farmers [38] farmers,ranchers [34] truckers,loggers [33] long,lines [33] lines,truckers [33] ranchers,showing [33] showing,up [33] up,salem [33] salem,ahead [33] ahead,rally Top Word Pairs in Tweet in G5:
[22] cap,trade [17] republican,senators [16] oregon,caught [16] caught,between [16] between,fascist [16] fascist,republican [16] senators,explicitly [16] explicitly,calling [16] calling,violence [16] violence,good Top Word Pairs in Tweet in G6:
[8] cap,trade [6] #hb2020,#orleg [6] gop,state [6] state,senators [5] #orpol,#hb2020 [5] #orpol,#orleg [5] #hb2020,being [4] fled,state [4] senators,fled [4] oregon,stop Top Word Pairs in Tweet in G7:
[13] #orpol,#orleg [11] #hb2020,#oregon11 [11] keaton_thomas,katunews [11] katunews,orsendemocrats [9] don,t [9] senate,democrats [9] #orleg,#capkillsjobs [7] orsendemocrats,orhousedems [7] people,exercising [7] #firstamendment,right Top Word Pairs in Tweet in G8:
[32] cap,invest [31] oregongovbrown,gov [31] gov,schwarzenegger [31] schwarzenegger,knows [31] knows,firsthand [31] firsthand,cap [31] invest,boost [31] boost,economy [31] economy,words [31] words,lawmakers Top Word Pairs in Tweet in G9:
[19] cap,trade [17] state,capitol [15] loggers,truckers [14] opposition,#hb2020 [13] inspiring,see [13] see,many [13] many,hardworking [13] hardworking,oregonians [13] oregonians,capitol [13] capitol,today Top Word Pairs in Tweet in G10:
[3] #hb2020,#oregon11 [3] state,senators [2] #portland,#hb2020 [2] #orleg,#orpol [2] #hb2020,terrible [2] terrible,bill [2] peaceful,tuesday [2] tuesday,oregon [2] oregon,#abolishice [2] #abolishice,#cancelstudentdebt Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: