87 citations · 434 across the 36 of their papers we have counts for
7 papers · 1 filter
On the Power of Gradual Network Alignment Using Dual-Perception Similarities
Jin-Duk Park, Cong Tran, Won-Yong Shin +1
Network alignment (NA) is the task of finding the correspondence of nodes between two networks based on the network structure and node attributes. Our study is motivated by the fac…
IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology
Cong Tran, Won-Yong Shin, Andreas Spitz
Since the structure of complex networks is often unknown, we may identify the most influential seed nodes by exploring only a part of the underlying network, given a small budget f…
An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media
Cong Tran, Dung D. Vu, Won-Yong Shin
It has been insufficiently explored how to perform density-based clustering by exploiting textual attributes on social media. In this paper, we aim at discovering a social point-of…
Improved Density-Based Spatio--Textual Clustering on Social Media
Minh D. Nguyen, Won-Yong Shin
DBSCAN may not be sufficient when the input data type is heterogeneous in terms of textual description. When we aim to discover clusters of geo-tagged records relevant to a particu…
Community Detection in Partially Observable Social Networks
Cong Tran, Won-Yong Shin, Andreas Spitz
The discovery of community structures in social networks has gained significant attention since it is a fundamental problem in understanding the networks' topology and functions. H…
Clarifying the Role of Distance in Friendships on Twitter: Discovery of a Double Power-Law Relationship
Won-Yong Shin, Jaehee Cho, André M. Everett
This study analyzes friendships in online social networks involving geographic distance with a geo-referenced Twitter dataset, which provides the exact distance between correspondi…
A New Understanding of Friendships in Space: Complex Networks Meet Twitter
Won-Yong Shin, Bikash C. Singh, Jaehee Cho +1
Studies on friendships in online social networks involving geographic distance have so far relied on the city location provided in users' profiles. Consequently, most of the resear…