data-sciencedatamachine-learningawesometwittersentiment-analysissocial-networkssocial-networkdatasetawesome-listdatasetssocial-network-analysis UpdatedNov 27, 2023 danielcaldas/react-d3-graph Star824 Code Issues Pull requests Discussions Interactive and configurable graphs with react and d3 effortlessly ...
@@ -54,7 +54,30 @@ collection for the common dataset in my research Spammer detection Social Network Data Set Introduction Twitter [4] The first column is the user class (i.e., 1 for non-spammers and 2 for spammers) and the subsequent columns are...
In the MPN dataset, the synthetic network’s modularity is found to be smaller than the empirical one. This finding can be due to the limited size that the network reaches in the simulation time (~2500 nodes versus the millions of the real case) and the fraction of time steps that we ...
In brief, we first used the finalfit package in R122 to evaluate the missing data pattern of the maximum lifespan (6% of NAs) and female time to maturity (30% of NAs) in the dataset with 1250 species: (a) missing completely at random (MCAR), assuming that data values do not relate...
focusing on identifying consistent patterns of toxic content. Drawing from an extensive dataset that spans eight platforms over 34 years—from Usenet to contemporary social media—our findings show consistent conversation patterns and user behaviour, irrespective of the platform, topic or time. Notably,...
This dataset, citeulike-a, was used in the IJCAI paper 'Collaborative Topic Regression with Social Regularization' [Wang, Chen and Li]. It was collected from CiteULike and Google Scholar. CiteULike allows users to create their own collections of articles. There are abstracts, titles, and tags...
dataset. To accomplish this, we acquired data from a large population of 347,192 participants who completed the same HEXACO items measured in the present study32,33. We stratified the international dataset by country (United States), age (quantile split), and sex, and randomly drew 5,000 ...
(building models, checking models, expanding models) as part of a larger scientific workflow, which also includes substantive theory, measurement, and data collection. In statistics and machine learning—theory and application alike—we focus so much on the analysis of some particular dataset in the...
The in-degree of a subreddit (node) in our dataset is the number of times that its posts have been referenced in another subreddit. The out-degree of a subreddit is the number of times that it has referenced posts from another subreddit. network. A graph in which attributes (e.g. ...
SBM dataset Hep-th Dataset AS Dataset 是否有开源代码:有(https://github.com/palash1992/DynamicGEM) Temporal Network Embedding with Micro- and Macro-dynamics 作者: Yuanfu Lu, et al. (德州农工大学) 发表时间:2019 发表于:CIKM 2019 关键词:micro/macro dynamic, Temporal Point Process ...