The graph represents a network of 9,194 Twitter users whose recent tweets contained "#JobsReport", 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 Monday, 13 January 2020 at 10:44 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 4-minute period from Sunday, 05 January 2020 at 14:01 UTC to Monday, 13 January 2020 at 08:05 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 : 9194
Unique Edges : 10534
Edges With Duplicates : 1555
Total Edges : 12089
Number of Edge Types : 5
MentionsInRetweet : 4896
Tweet : 525
Retweet : 5829
Replies to : 271
Mentions : 568
Self-Loops : 541
Reciprocated Vertex Pair Ratio : 0.000924385283786282
Reciprocated Edge Ratio : 0.0018470631695604
Connected Components : 301
Single-Vertex Connected Components : 188
Maximum Vertices in a Connected Component : 8588
Maximum Edges in a Connected Component : 11338
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.628966
Graph Density : 0.000128111019580328
Modularity : 0.6907
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 9,194 Twitter users whose recent tweets contained "#JobsReport", 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 Monday, 13 January 2020 at 10:44 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 4-minute period from Sunday, 05 January 2020 at 14:01 UTC to Monday, 13 January 2020 at 08:05 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 : #JobsReport
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:
[10732] wage,growth [5169] growth,those [5120] avg,wage [5119] outpaces,wage [5116] those,college [5116] college,degree [3466] 000,jobs [2611] degree,outpaces [2598] economy,added [2562] blue,collar Top Word Pairs in Tweet in G1:
[9034] wage,growth [4516] avg,wage [4516] outpaces,wage [4514] growth,those [4514] those,college [4514] college,degree [2259] celebrating,another [2259] another,stellar [2259] stellar,#jobsreport [2259] #jobsreport,blue Top Word Pairs in Tweet in G2:
[2326] 000,jobs [2325] 36,months [2325] economy,added [1163] trump,office [1163] obama,administration [1162] months,trump [1162] office,economy [1162] added,940 [1162] 940,000 [1162] jobs,bad Top Word Pairs in Tweet in G3:
[2156] 128b,surplus [2156] 5m,jobs [1078] context,matters [1078] matters,#jobsreport [1078] #jobsreport,comparing [1078] comparing,jobs [1078] jobs,budget [1078] budget,deficit [1078] deficit,reagan [1078] reagan,15m Top Word Pairs in Tweet in G4:
[1159] wage,growth [787] slowing,down [562] jobs,added [531] 000,jobs [530] avg,wage [530] outpaces,wage [530] growth,those [530] those,college [530] college,degree [523] 145,000 Top Word Pairs in Tweet in G5:
[671] jobs,lost [447] 000,mining [447] mining,jobs [444] lost,dec [362] 145,000 [233] manufacturing,jobs [228] trump,promised [225] 12,000 [225] 000,manufacturing [225] 24,000 Top Word Pairs in Tweet in G6:
[108] #jobsreport,disaster [85] 145,000 [84] wage,growth [83] december,#jobsreport [82] disaster,145 [82] growth,lowest [82] lowest,mid [82] mid,2018 [82] hiring,full [82] full,year Top Word Pairs in Tweet in G7:
[20] 145,000 [19] 000,jobs [17] wage,growth [16] 000,000 [13] economy,added [12] jobs,report [11] december,#jobsreport [11] 145k,jobs [10] unemployment,rate [9] #jobsreport,numbers Top Word Pairs in Tweet in G8:
[131] jobs,never [131] never,jobs [131] jobs,whether [131] whether,earn [131] earn,decent [131] decent,living [131] living,#fridaythoughts [131] #fridaythoughts,#fridaymotivation [131] #fridaymotivation,#jobsreport [131] #jobsreport,#demcast Top Word Pairs in Tweet in G9:
[276] million,3m [184] million,7m [92] total,jobs [92] jobs,end [92] end,2013 [92] 2013,137 [92] 137,million [92] 3m,2014 [92] 2014,140 [92] 140,million Top Word Pairs in Tweet in G10:
[26] 145,000 [21] 000,jobs [19] wage,growth [14] adds,145 [14] jobs,unemployment [14] unemployment,holds [14] holds,washington [14] washington,times [14] times,#jobsreport [10] 50,year Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: