27 citations · 54 across the 11 of their papers we have counts for
11 papers
A Case Study of Balanced Query Recommendation on Wikipedia
Harshit Mishra, Sucheta Soundarajan
Modern IR systems are an extremely important tool for seeking information. In addition to search, such systems include a number of query reformulation methods, such as query expans…
Quantifying Node-based Core Resilience
Jakir Hossain, Sucheta Soundarajan, Ahmet Erdem Sarıyüce
Core decomposition is an efficient building block for various graph analysis tasks such as dense subgraph discovery and identifying influential nodes. One crucial weakness of the c…
Social Stratification in Networks: Insights from Co-Authorship Networks
Zeinab S. Jalali, Josh Introne, Sucheta Soundarajan
It has been observed that real-world social networks often exhibit stratification along economic or other lines, with consequences for class mobility and access to opportunities. W…
On Measuring the Diversity of Organizational Networks
Zeinab S. Jalali, Krishnaram Kenthapadi, Sucheta Soundarajan
The interaction patterns of employees in social and professional networks play an important role in the success of employees and organizations as a whole. However, in many fields t…
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM
Geng Yuan, Xiaolong Ma, Caiwen Ding +7
The high computation and memory storage of large deep neural networks (DNNs) models pose intensive challenges to the conventional Von-Neumann architecture, incurring substantial da…
Predicting Graph Categories from Structural Properties
James P. Canning, Emma E. Ingram, Sammantha Nowak-Wolff +5
This paper has been withdrawn from arXiv.org due to a disagreement among the authors related to several peer-review comments received prior to submission on arXiv.org. Even though…
Network Classification and Categorization
James P. Canning, Emma E. Ingram, Sammantha Nowak-Wolff +5
To the best of our knowledge, this paper presents the first large-scale study that tests whether network categories (e.g., social networks vs. web graphs) are distinguishable from…
Hidden Community Detection in Social Networks
Kun He, Yingru Li, Sucheta Soundarajan +1
We introduce a new paradigm that is important for community detection in the realm of network analysis. Networks contain a set of strong, dominant communities, which interfere with…
Sampling a Network to Find Nodes of Interest
Pivithuru Wijegunawardana, Vatsal Ojha, Ralucca Gera +1
The focus of the current research is to identify people of interest in social networks. We are especially interested in studying dark networks, which represent illegal or covert ac…
MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks
Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher +1
Networked representations of real-world phenomena are often partially observed, which lead to incomplete networks. Analysis of such incomplete networks can lead to skewed results.…
Revealing Multiple Layers of Hidden Community Structure in Networks
Kun He, Sucheta Soundarajan, Xuezhi Cao +2
We introduce a new conception of community structure, which we refer to as hidden community structure. Hidden community structure refers to a specific type of overlapping community…