activity
20182026
most citedHYTREL: Hypergraph-enhanced Tabular Data Representation Learning

13 citations · 32 across the 19 of their papers we have counts for

collaborators
Showing 2019Show all

8 papers · 1 filter

cs.SI2019

Can social influence be exploited to compromise security: An online experimental evaluation

Soumajyoti Sarkar, Paulo Shakarian, Mika Armenta +2

Social media has enabled users and organizations to obtain information about technology usage like software usage and even security feature usage. However, on the dark side it has…

cs.SI2019

Mining user interaction patterns in the darkweb to predict enterprise cyber incidents

Soumajyoti Sarkar, Mohammad Almukaynizi, Jana Shakarian +1

With rise in security breaches over the past few years, there has been an increasing need to mine insights from social media platforms to raise alerts of possible attacks in an att…

cs.SI2019★ 3 cited

Use of a controlled experiment and computational models to measure the impact of sequential peer exposures on decision making

Soumajyoti Sarkar, Ashkan Aleali, Paulo Shakarian +3

It is widely believed that one's peers influence product adoption behaviors. This relationship has been linked to the number of signals a decision-maker receives in a social networ…

cs.SI2019★ 1 cited

Understanding Information Flow in Cascades Using Network Motifs

Soumajyoti Sarkar, Hamidreza Alvari, Paulo Shakarian

A growing set of applications consider the process of network formation by using subgraphs as a tool for generating the network topology. One of the pressing research challenges is…

cs.SI2019

Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media

Hamidreza Alvari, Elham Shaabani, Soumajyoti Sarkar +2

Recent years have witnessed a surge of manipulation of public opinion and political events by malicious social media actors. These users are referred to as "Pathogenic Social Media…

cs.SI2019★ 1 cited

Using network motifs to characterize temporal network evolution leading to diffusion inhibition

Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian

Network motifs are patterns of over-represented node interactions in a network which have been previously used as building blocks to understand various aspects of the social networ…

cs.SI2019

Detection of Violent Extremists in Social Media

Hamidreza Alvari, Soumajyoti Sarkar, Paulo Shakarian

The ease of use of the Internet has enabled violent extremists such as the Islamic State of Iraq and Syria (ISIS) to easily reach large audience, build personal relationships and i…

cs.SI2019

Leveraging Motifs to Model the Temporal Dynamics of Diffusion Networks

Soumajyoti Sarkar, Hamidreza Alvari, Paulo Shakarian

Information diffusion mechanisms based on social influence models are mainly studied using likelihood of adoption when active neighbors expose a user to a message. The problem aris…