The graph represents a network of 10,305 Twitter users whose tweets in the requested range contained "list:digitalspacelab/mdb19wp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 02 December 2019 at 14:50 UTC.
The requested date range was from Friday, 01 November 2019 at 00:00 UTC through Saturday, 30 November 2019 at 23:59 UTC.
The tweets in the network were tweeted over the 1117-day, 10-hour, 1-minute period from Tuesday, 08 November 2016 at 13:50 UTC to Saturday, 30 November 2019 at 23:51 UTC.
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 party values.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 475
Unique Edges : 2706
Edges With Duplicates : 13240
Total Edges : 15946
Number of Edge Types : 3
Tweet : 7680
Mentions : 7695
Replies to : 571
Self-Loops : 7680
Reciprocated Vertex Pair Ratio : 0.171000565291125
Reciprocated Edge Ratio : 0.292058894520879
Connected Components : 17
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 459
Maximum Edges in a Connected Component : 15841
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.734363
Graph Density : 0.0184010659560293
Modularity : 0.166764
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 10,305 Twitter users whose tweets in the requested range contained "list:digitalspacelab/mdb19wp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 02 December 2019 at 14:50 UTC.
The requested date range was from Friday, 01 November 2019 at 00:00 UTC through Saturday, 30 November 2019 at 23:59 UTC.
The tweets in the network were tweeted over the 1117-day, 10-hour, 1-minute period from Tuesday, 08 November 2016 at 13:50 UTC to Saturday, 30 November 2019 at 23:51 UTC.
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 : GraphServerTwitterSearch
Graph Term : list:digitalspacelab/mdb19wp
Groups : The graph's vertices were grouped by party values.
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:
[156] herzlichen,glückwunsch [113] ðÿ,ðÿ [86] mã,ssen [79] cdu,csu [75] eskensaskia,nowabofm [62] wã,re [56] kã,nnen [50] gewalt,frauen [50] unserem,land [44] wã,rde Top Word Pairs in Tweet in CDU/CSU:
[22] ðÿ,ðÿ [21] cdu,csu [18] cducsubt,rbrinkhaus [15] akk,paulziemiak [13] herzlichen,glückwunsch [13] csu,cducsubt [11] mã,ssen [10] #noafd,#afdgehoertnichtzudeutschland [10] cducsubt,cdu [10] #cdupt19,#leipzig Top Word Pairs in Tweet in SPD:
[63] herzlichen,glückwunsch [53] eskensaskia,nowabofm [28] unserem,land [26] ðÿ,ðÿ [25] gewalt,frauen [23] nowabofm,eskensaskia [22] millionen,euro [21] angehörige,gepflegt [20] klara_geywitz,olafscholz [20] kinder,erzogen Top Word Pairs in Tweet in FDP:
[28] langer,schwerer [28] schwerer,krankheit [21] jimmyschulz,langer [21] ðÿ,ðÿ [20] krankheit,gestorben [19] abschaffung,#soli [19] mã,ssen [18] deutschland,rigoroseste [18] rigoroseste,bauern [18] bauern,folgenreichste Top Word Pairs in Tweet in AfD:
[26] #afd,fraktion [25] #afd,#bundestag [25] #afd,#nurnochafd [18] #afd,#afdwirkt [18] #afd,#afdimbundestag [16] #cdu,#csu [15] guten,#deutschland [15] herzlichen,glückwunsch [13] ibrahim,#miri [12] deutschen,#bundestag Top Word Pairs in Tweet in Bündnis 90/Die Grünen:
[28] herzlichen,glückwunsch [27] cdu,csu [23] csu,spd [19] grundgesetz,kennt [19] kennt,abgeordnete [19] abgeordnete,artikel [19] artikel,38 [19] 38,mdb [19] mdb,klasse [19] klasse,hört Top Word Pairs in Tweet in Die Linke:
[24] #hartziv,sanktionen [23] herzlichen,glückwunsch [19] mã,ssen [17] hartz,iv [14] ðÿ,ðÿ [13] #brandner,vorsitzenden [13] vorsitzenden,rechtsausschusses [13] amira_m_ali,dietmarbartsch [12] wã,rde [12] wã,re Top Word Pairs in Tweet in fraktionslos:
[6] alexe1789,paulziemiak [5] alice_weidel,r_hartwig_afd [5] ðÿ,ðÿ [4] langguthalex,fraukepetry [4] fraukepetry,marcuspretzell [4] realsc1966,alexe1789 [3] and1ste,justusbender [3] justusbender,alice_weidel [2] justusbender,deppendorfu [2] deppendorfu,alice_weidel Top Replied-To in Entire Graph:
Top Replied-To in CDU/CSU:
Top Replied-To in SPD:
Top Replied-To in FDP:
Top Replied-To in AfD:
Top Replied-To in Bündnis 90/Die Grünen:
Top Replied-To in Die Linke:
Top Replied-To in fraktionslos:
Top Mentioned in Entire Graph:
Top Mentioned in CDU/CSU:
Top Mentioned in SPD:
Top Mentioned in FDP:
Top Mentioned in AfD:
Top Mentioned in Bündnis 90/Die Grünen:
Top Mentioned in Die Linke:
Top Mentioned in fraktionslos:
Top Tweeters in Entire Graph:
Top Tweeters in CDU/CSU:
Top Tweeters in SPD:
Top Tweeters in FDP:
Top Tweeters in AfD:
Top Tweeters in Bündnis 90/Die Grünen:
Top Tweeters in Die Linke:
Top Tweeters in fraktionslos: