The graph represents a network of 4,752 Twitter users whose tweets in the requested range contained "scicomm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 27 October 2019 at 00:41 UTC.
The requested start date was Sunday, 27 October 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 13-hour, 30-minute period from Wednesday, 23 October 2019 at 01:59 UTC to Friday, 25 October 2019 at 15:30 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 : 4752
Unique Edges : 6952
Edges With Duplicates : 2363
Total Edges : 9315
Number of Edge Types : 3
Mentions : 8335
Tweet : 781
Replies to : 199
Self-Loops : 781
Reciprocated Vertex Pair Ratio : 0.0587803085966201
Reciprocated Edge Ratio : 0.111034004163775
Connected Components : 438
Single-Vertex Connected Components : 123
Maximum Vertices in a Connected Component : 3318
Maximum Edges in a Connected Component : 7561
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.736916
Graph Density : 0.000319133593707368
Modularity : 0.681261
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,752 Twitter users whose tweets in the requested range contained "scicomm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 27 October 2019 at 00:41 UTC.
The requested start date was Sunday, 27 October 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 13-hour, 30-minute period from Wednesday, 23 October 2019 at 01:59 UTC to Friday, 25 October 2019 at 15:30 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 : GraphServerTwitterSearch
Graph Term : scicomm
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[139] check,out [114] science,communication [93] #wisskomm,#scicomm [90] t,believe [90] believe,people [90] people,still [90] still,call [90] call,double [90] double,blind [90] blind,randomised Top Word Pairs in Tweet in G1:
[25] science,communication [19] live,show [17] social,media [16] check,out [15] trying,understand [15] #climatechange,#scicomm [13] new,#strategic [13] #strategic,#scicomm [13] #scicomm,article [13] article,koharoo Top Word Pairs in Tweet in G2:
[66] #wissenschaft,#wisskomm [66] #wisskomm,#scicomm [45] #fightfakescience,#sciencereclaimsthewww [45] #sciencereclaimsthewww,#science [45] #science,#makesciencegreatagain [45] #makesciencegreatagain,#wissenschaft [24] people,geoscientific [24] geoscientific,education [24] education,better [24] better,identifying Top Word Pairs in Tweet in G3:
[33] check,out [24] incredible,genomics [24] genomics,solves [24] solves,medical [24] medical,mystery [24] mystery,dating [24] dating,way [24] way,back [24] back,1968 [24] 1968,extremely Top Word Pairs in Tweet in G4:
[58] #phdchat,#scicomm [39] #scicomm,#betteracademia [33] _atanas_,#ff [31] here,s [31] s,another [31] another,shoutout [31] shoutout,scicommers [31] scicommers,don [31] don,t [31] t,make Top Word Pairs in Tweet in G5:
[29] seasonwatch_in,gubbilabs [29] prakashlab,teamfoldscope [25] gubbilabs,scicomm_india [25] scicomm_india,prakashlab [25] teamfoldscope,cooolstemgames [25] cooolstemgames,o_imperishable [23] scicomm_india,dbtindia [21] dbtindia,indiadst [20] o_imperishable,sdkadam2609 [16] indiadst,csir_ind Top Word Pairs in Tweet in G6:
[48] cool,discovery [48] discovery,plants [48] plants,kind [48] kind,nervous [48] nervous,system [48] system,sciencemagazine [48] sciencemagazine,#science [47] dna_rna_uni,cool [47] #science,#pl [38] using,time Top Word Pairs in Tweet in G7:
[7] check,out [6] science,communication [4] #science,#scicomm [3] learn,more [3] now,want [2] #scicomm,#tweetchallenge [2] science,writer [2] #scicomm,skills [2] aspirational,health [2] health,hazards Top Word Pairs in Tweet in G8:
[88] t,believe [88] believe,people [88] people,still [88] still,call [88] call,double [88] double,blind [88] blind,randomised [88] randomised,controlled [88] controlled,trials [88] trials,calling Top Word Pairs in Tweet in G9:
[14] scientific,writing [14] writing,poll [14] poll,order [14] order,write [14] write,different [14] different,manuscript [14] manuscript,sections [14] sections,#scicomm [13] acgerstein,scientific [9] check,out Top Word Pairs in Tweet in G10:
[30] #scisoc2019,#scicomm [23] excellent,video [23] video,abstract [23] abstract,modelling [23] modelling,cryptosporidium [23] cryptosporidium,infection [23] infection,human [23] human,small [23] small,intestinal [23] intestinal,lung 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 G5:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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: