Social network analysisBotDementiaCOVID-19Purpose The study aimed to examine how different communities concerned with dementia engage and interact on Twitter.Design/methodology/approach A dataset was sampled from 8,400 user profile descriptions, which was labelled into five categories and subjected to ...
The analysis was carried out on a large dataset created by the collection of information on Twitter, with the aim of characterizing the discussions on social media about ASD, and therefore understanding how the topic is perceived by different users, in order to analyze their behavior. The data ...
This dataset is a list of user counts for the number of friends followed collected from user profiles between March 2006 and March 2010. The number of friends was taken from the last seen state for 40 million users as of March 2010. The number of users with given number of friends was ...
The Twitter Sociogram tab displays your dataset as a network diagram, with each vertex representing a Twitter username connected by edges (lines) representing retweets and mentions. Refer to About social network analysis for more information or watch the video....
This research aimed to analyze the pattern of the social network by using the Social Network Analysis (SNA) Method, to understand the conversation network and involved actors, by analyzing the Twitter dataset contains 36,929 tweets, with "COVID19Indonesia", "Inpres" and "Pemerintah" words, ...
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Microsoft offers three different ways to do sentiment analysis on social network information:1. There is a service that the Azure ML team has already built that does this, which is exposed as a service you can call: https://datamarket.azure.com/dataset/aml_labs/lexicon_based...
Online Information ReviewTwitter use by the dementia community during Covid-19: A user classification and social network analysisAbstractPurpose: The study aimed to examine how different communities concerned with dementia engage and interact on Twitter. Methodology: A dataset was sampled from 8,400 us...
Dataset python main.py -e 20 --data P50 or python main.py -e 20 -d P50 will run the datasetP50, instead of the defaultPureP. For the dataset options please check thedatawe have. Feature python main.py -e 20 --feature one_hot ...
tweet_min_scores determines the minimum scores for either the entire dataset or the minimum scores associated with a hashtag or topic analysis. tweet_max_scores determines the maximum scores for either the entire dataset or the maximum scores associated with a hashtag or topic analysis. Visualizati...