37 citations · 133 across the 50 of their papers we have counts for
28 papers · 1 filter
A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts
Hamidreza Alvari, Ghazaleh Beigi, Soumajyoti Sarkar +4
Over the past few years, we have observed different media outlets' attempts to shift public opinion by framing information to support a narrative that facilitate their goals. Malic…
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…
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…
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…
Detecting Pathogenic Social Media Accounts without Content or Network Structure
Elham Shaabani, Ruocheng Guo, Paulo Shakarian
The spread of harmful mis-information in social media is a pressing problem. We refer accounts that have the capability of spreading such information to viral proportions as "Patho…
An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter
Elham Shaabani, Ashkan Sadeghi-Mobarakeh, Hamidreza Alvari +1
Pathogenic Social Media (PSM) accounts such as terrorist supporter accounts and fake news writers have the capability of spreading disinformation to viral proportions. Early detect…
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…
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…
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…
Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts
Hamidreza Alvari, Paulo Shakarian
Over the past years, political events and public opinion on the Web have been allegedly manipulated by accounts dedicated to spreading disinformation and performing malicious activ…
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…
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…
Predicting enterprise cyber incidents using social network analysis on the darkweb hacker forums
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…
Early Identification of Pathogenic Social Media Accounts
Hamidreza Alvari, Elham Shaabani, Paulo Shakarian
Pathogenic Social Media (PSM) accounts such as terrorist supporters exploit large communities of supporters for conducting attacks on social media. Early detection of these account…
Understanding and forecasting lifecycle events in information cascades
Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian
Most social network sites allow users to reshare a piece of information posted by a user. As time progresses, the cascade of reshares grows, eventually saturating after a certain t…
Temporal Analysis of Influence to Predict Users' Adoption in Online Social Networks
Ericsson Marin, Ruocheng Guo, Paulo Shakarian
Different measures have been proposed to predict whether individuals will adopt a new behavior in online social networks, given the influence produced by their neighbors. In this p…
Toward Early and Order-of-Magnitude Cascade Prediction in Social Networks
Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar +1
When a piece of information (microblog, photograph, video, link, etc.) starts to spread in a social network, an important question arises: will it spread to viral proportions - whe…
An Empirical Evaluation Of Social Influence Metrics
Nikhil Kumar, Ruocheng Guo, Ashkan Aleali +1
Predicting when an individual will adopt a new behavior is an important problem in application domains such as marketing and public health. This paper examines the perfor- mance of…
A Comparison of Methods for Cascade Prediction
Ruocheng Guo, Paulo Shakarian
Information cascades exist in a wide variety of platforms on Internet. A very important real-world problem is to identify which information cascades can go viral. A system addressi…
Early Identification of Violent Criminal Gang Members
Elham Shaabani, Ashkan Aleali, Paulo Shakarian +1
Gang violence is a major problem in the United States accounting for a large fraction of homicides and other violent crime. In this paper, we study the problem of early identificat…
Toward Order-of-Magnitude Cascade Prediction
Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar +1
When a piece of information (microblog, photograph, video, link, etc.) starts to spread in a social network, an important question arises: will it spread to "viral" proportions --…
A Scalable Heuristic for Viral Marketing Under the Tipping Model
Paulo Shakarian, Sean Eyre, Damon Paulo
In a "tipping" model, each node in a social network, representing an individual, adopts a property or behavior if a certain number of his incoming neighbors currently exhibit the s…
Mining for Spatially-Near Communities in Geo-Located Social Networks
Joseph Hannigan, Guillermo Hernandez, Richard M. Medina +2
Current approaches to community detection in social networks often ignore the spatial location of the nodes. In this paper, we look to extract spatially-near communities in a socia…
Social Network Intelligence Analysis to Combat Street Gang Violence
Damon Paulo, Bradley Fischl, Tanya Markow +2
In this paper we introduce the Organization, Relationship, and Contact Analyzer (ORCA) that is designed to aide intelligence analysis for law enforcement operations against violent…