The graph represents a network of 1,683 Twitter users whose recent tweets were included in a list (#WissKomm Oktober 2022) of 2827 tweet IDs, or who were replied to or mentioned in those tweets. 2827 out of 2827 tweets were collected. The network was obtained from Twitter on Monday, 07 November 2022 at 17:53 UTC.
The tweets in the network were tweeted over the 1699-day, 13-hour, 33-minute period from Wednesday, 07 March 2018 at 08:00 UTC to Monday, 31 October 2022 at 21:33 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 : 1683
Unique Edges : 3861
Edges With Duplicates : 1475
Total Edges : 5336
Number of Edge Types : 5
Retweet : 1806
Mentions : 1114
MentionsInRetweet : 1887
Tweet : 396
Replies to : 133
Self-Loops : 415
Reciprocated Vertex Pair Ratio : 0.0652956298200514
Reciprocated Edge Ratio : 0.122586872586873
Connected Components : 82
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 1473
Maximum Edges in a Connected Component : 5046
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.097219
Graph Density : 0.00146389402876778
Modularity : 0.546893
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 1,683 Twitter users whose recent tweets were included in a list (#WissKomm Oktober 2022) of 2827 tweet IDs, or who were replied to or mentioned in those tweets. 2827 out of 2827 tweets were collected. The network was obtained from Twitter on Monday, 07 November 2022 at 17:53 UTC.
The tweets in the network were tweeted over the 1699-day, 13-hour, 33-minute period from Wednesday, 07 March 2018 at 08:00 UTC to Monday, 31 October 2022 at 21:33 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 : TwitterIDList
Graph Term : #WissKomm Oktober 2022
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[331] #scicomm,#wisskomm [166] #wisskomm,#scicomm [118] wissenschaftler,innen [114] #psychtwitter,#neurotwitter [105] #neurotwitter,#sciencetwitter [88] #academictwitter,#psychtwitter [88] #psychologie,#academictwitter [86] #wisskomm,#psychology [86] #psychology,#psychologie [77] hören,tollen Top Word Pairs in Tweet in G1:
[63] maja,göpel [62] göpel,beyond_ideology [56] #fwk22,#wisskomm [40] wissenschaftler,innen [33] beyond_ideology,#fwk22 [27] w_jahr,2023 [24] #wisskomm,projekte [22] umsetzung,gewinnen [22] #nachwuchsforschende,aufgepasst [22] erlebbar,bewerben Top Word Pairs in Tweet in G2:
[258] #scicomm,#wisskomm [119] #wisskomm,#scicomm [112] #psychtwitter,#neurotwitter [103] #neurotwitter,#sciencetwitter [88] #psychologie,#academictwitter [88] #academictwitter,#psychtwitter [86] #wisskomm,#psychology [86] #psychology,#psychologie [51] #sciencetwitter,#psychosoph [41] wissenschaftler,innen Top Word Pairs in Tweet in G3:
[43] #scienceslam,#wisskomm [32] #bookascientist,#wisskomm [31] book,scientist [26] expertinnen,experten [26] buch',vieraugengespräch [26] 120,themen [26] vieraugengespräch,120 [26] auflage,unseres [26] gemeinschaft,infos [26] unseres,speeddatings Top Word Pairs in Tweet in G4:
[12] podcast,#wisskomm [12] nochmal,fussballinguist [12] #wisskomm,dazugelernt [12] #klartextpreis,#wisskomm [12] interview,einblicke [12] backstage,bereich [12] bereich,obwohl [12] einblicke,wisskomm [12] obwohl,podcast [12] dazugelernt,geht's Top Word Pairs in Tweet in G5:
[76] tollen,podcasts [76] thematisieren,ineinandergreift [76] funktioniert,wissenschaftsprozess [76] schwierigkeit,#wisskomm [76] #wisskomm,darstellt [76] ineinandergreift,schwierigkeit [76] hören,tollen [76] #falsebalance,spiel [76] podcasts,brinkmannlab [76] wissenschaftsprozess,#falsebalance Top Word Pairs in Tweet in G6:
[37] #wisskomm,einfach [37] egos,verkraften [37] stück,#wisskomm [37] leuten,egos [37] teilen,claudmajor [37] einfach,hinnehmbar [37] verkraften,expertise [37] swpberlin,jana_puglierin [37] expert,innen [37] angegriffen,leuten Top Word Pairs in Tweet in G7:
[36] voller,selbstverständlichkeit [36] forschung,lehre [36] anzubieten,dauer [36] fancy,hobby [36] einzufordern,angemessen [36] dauer,funktionieren [36] gremientätigkeiten,wissenschaftler_innen [36] wissenschaftler_innen,einzufordern [36] arbeit,voller [36] wertzuschätzen,unterstützung Top Word Pairs in Tweet in G8:
[8] #wisskomm,#scicomm [8] pflanzenzüchter,slam [8] möglichst,veranstaltung [8] dialogbdp,toll [8] online,beiwohnten [8] #science,#scienceslam [8] ausgerichtet,dialogbdp [8] #mendel,ausgerichtet [8] findet,pflanzenzüchter [8] slam,200 Top Word Pairs in Tweet in G9:
[15] online,teilnahme [15] freue,infos [15] #digitalelehre,#wisskomm [15] nord,option [15] #academictwitter,#digitalelehre [15] co,g2yqgx58ii [15] mittelaltergermanistik,nord [15] ringvorlesung,verbund [15] option,online [15] folgen,co Top Word Pairs in Tweet in G10:
[48] #militärgeschichte,#twitterstorians [42] preise,verlosen [42] gewinner,laufe [42] bekanntgabe,gewinner [42] laufe,wes [42] veranstaltern,#itmg2022 [42] #twitterstorians,#wisskomm [42] gestern,#zmsbw [42] bekommen,teilnahme [42] verlosen,bekommen Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: