Academia.eduAcademia.edu

Figure 1 – uploaded by Vadim Kagan

See full PDFdownloadDownload figure
analysts to query the profiles, sort them in descending order of columns (see top of Figure 1). Figure 1. Sentimetrix Dashboard to view Twitter user information. variables cue an analyst about whether a person is suspicious. The Sentimetrix Dashboard allows

Figure 1 analysts to query the profiles, sort them in descending order of columns (see top of Figure 1). Figure 1. Sentimetrix Dashboard to view Twitter user information. variables cue an analyst about whether a person is suspicious. The Sentimetrix Dashboard allows

Related Figures (13)

Figure 2. Top of detailed screen about a Competition Bot
Figure 2. Top of detailed screen about a Competition Bot
Distance Measures. The Indiana team identified additional bots by computing the cosine similarity between users and known bots. Figure 4 shows the kernel density estimation of the pairwise cosine distance between pairs of feature vectors characterizing two bots, compared to bot-human pairs. The distances between bot pairs are much smaller than bot-human pairs. The bot-bot distance exhibits a bimodal distribution that reflects the presence of two types of bots designed by two teams. Sentimetri: achieved similar success using Jaccard distance. distance between pairs of feature vectors characterizing two bots, compared to bot-human pairs. The
Distance Measures. The Indiana team identified additional bots by computing the cosine similarity between users and known bots. Figure 4 shows the kernel density estimation of the pairwise cosine distance between pairs of feature vectors characterizing two bots, compared to bot-human pairs. The distances between bot pairs are much smaller than bot-human pairs. The bot-bot distance exhibits a bimodal distribution that reflects the presence of two types of bots designed by two teams. Sentimetri: achieved similar success using Jaccard distance. distance between pairs of feature vectors characterizing two bots, compared to bot-human pairs. The
Figure 4. Kernel density estimation of the cosine Distance between bot-bot pairs (blue) and bot- human pairs.
Figure 4. Kernel density estimation of the cosine Distance between bot-bot pairs (blue) and bot- human pairs.
Vadim Kagan is a technologist with over 30 years of experience in building large-scale systems; he is a founder and president of SentiMetrix
Vadim Kagan is a technologist with over 30 years of experience in building large-scale systems; he is a founder and president of SentiMetrix
Linhong Zhu is a Computer Scientist at the Information Sciences Institute, University of Southern California.
Linhong Zhu is a Computer Scientist at the Information Sciences Institute, University of Southern California.
Emilio Ferrara was a Research Scientist at the Indiana University Network Science Institute. Currently he is a Computer Scientist at the University of Southern California's Information Sciences Institute. Emilio Ferrara was a Research Scientist at the Indiana University Network Science Institute. Currently he
Emilio Ferrara was a Research Scientist at the Indiana University Network Science Institute. Currently he is a Computer Scientist at the University of Southern California's Information Sciences Institute. Emilio Ferrara was a Research Scientist at the Indiana University Network Science Institute. Currently he
Related topics:
Computer SciencePhysics
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved