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DynamicGEM: A Library for Dynamic Graph Embedding Methods
Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi +2
DynamicGEM is an open-source Python library for learning node representations of dynamic graphs. It consists of state-of-the-art algorithms for defining embeddings of nodes whose c…
'Senator, We Sell Ads': Analysis of the 2016 Russian Facebook Ads Campaign
Ritam Dutt, Ashok Deb, Emilio Ferrara
One of the key aspects of the United States democracy is free and fair elections that allow for a peaceful transfer of power from one President to the next. The 2016 US presidentia…
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction
Homa Hosseinmardi, Amir Ghasemian, Shrikanth Narayanan +2
Today's densely instrumented world offers tremendous opportunities for continuous acquisition and analysis of multimodal sensor data providing temporal characterization of an indiv…
Who Falls for Online Political Manipulation?
Adam Badawy, Kristina Lerman, Emilio Ferrara
Social media, once hailed as a vehicle for democratization and the promotion of positive social change across the globe, are under attack for becoming a tool of political manipulat…
Discovering Signals from Web Sources to Predict Cyber Attacks
Palash Goyal, KSM Tozammel Hossain, Ashok Deb +5
Cyber attacks are growing in frequency and severity. Over the past year alone we have witnessed massive data breaches that stole personal information of millions of people and wide…
Capturing Edge Attributes via Network Embedding
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara +1
Network embedding, which aims to learn low-dimensional representations of nodes, has been used for various graph related tasks including visualization, link prediction and node cla…