The graph represents a network of 254 Twitter users whose tweets in the requested range contained "svforum", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 04:50 UTC.
The requested start date was Wednesday, 16 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 75-day, 22-hour, 46-minute period from Wednesday, 01 July 2020 at 21:43 UTC to Tuesday, 15 September 2020 at 20:30 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 : 254
Unique Edges : 287
Edges With Duplicates : 635
Total Edges : 922
Number of Edge Types : 5
Retweet : 189
MentionsInRetweet : 328
Mentions : 329
Replies to : 22
Tweet : 54
Self-Loops : 57
Reciprocated Vertex Pair Ratio : 0.0673076923076923
Reciprocated Edge Ratio : 0.126126126126126
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 249
Maximum Edges in a Connected Component : 916
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.743513
Graph Density : 0.00690921539945847
Modularity : 0.319375
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 254 Twitter users whose tweets in the requested range contained "svforum", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 04:50 UTC.
The requested start date was Wednesday, 16 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 75-day, 22-hour, 46-minute period from Wednesday, 01 July 2020 at 21:43 UTC to Tuesday, 15 September 2020 at 20:30 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 : svforum
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:
[21] covid,19 [19] early,stage [16] apply,pitch [15] #svfcyber,#cybersecurity [15] #cybersecurity,threats [14] silicon,valley [14] virtual,stage [13] pitch,event [13] virtual,event [11] protect,business Top Word Pairs in Tweet in G1:
[15] covid,19 [10] #svfcyber,#cybersecurity [8] virtual,stage [8] early,stage [6] days,left [6] virtual,event [6] apply,pitch [6] future,work [5] #cybersecurity,#cyberinsurance [5] female,founders Top Word Pairs in Tweet in G2:
[11] early,stage [10] apply,pitch [10] pitch,event [6] space,apply [6] virtual,event [6] svforum,one [5] stage,startup [5] startup,#mobility [5] #mobility,#transportation [5] #transportation,space Top Word Pairs in Tweet in G3:
[4] editors,list [4] today,#tech [4] #tech,#business [4] #business,events [3] list,#sf [3] #sf,#siliconvalley [3] #siliconvalley,today [3] events,productscount [3] productscount,columbiavc [3] besteventsintheus,list Top Word Pairs in Tweet in G4:
[11] protect,business [11] business,#cybersecurity [11] #cybersecurity,threats [11] threats,latest [11] latest,insights [11] insights,wipro's [11] wipro's,biplab [11] biplab,adhya [11] adhya,experts [9] wipro,protect Top Word Pairs in Tweet in G6:
[4] svforum,chrisyeh [3] svforum,employers [3] employers,need [3] need,think [3] think,parents [3] parents,children [3] children,servicenow [3] servicenow,bringing [3] bringing,resources [3] resources,tools Top Word Pairs in Tweet in G7:
[8] founder,institute [8] virtual,program [5] final,deadline [5] deadline,first [5] first,online [5] online,cohort [5] silicon,valley [5] valley,founder [5] institute,sunday [5] sunday,apply Top Word Pairs in Tweet in G8:
[3] svforum,miss [3] miss,leading [3] leading,ladies [3] jingbrewer,accenture [3] accenture,ventures [3] ventures,shelly [3] shelly,shatterfund [3] shatterfund,michelle [3] michelle,messina [3] messina,explora Top Word Pairs in Tweet in G9:
[5] mirada,silicon [5] silicon,valley [5] valley,forum [5] forum,agtech [5] agtech,tiempos [5] tiempos,covid [5] covid,cambió [5] cambió,futuro [5] futuro,demanda [4] fundacion_cedef,mirada Top Word Pairs in Tweet in G10:
[3] meanwhile,ecommerce [3] ecommerce,friction [3] friction,africa [2] docolumide,meanwhile Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G8:
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:
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:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: