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Using Large-scale Open Source Data to Identify Potential Forced Migration
This paper describes initial efforts to use open-source data to capture knowledge about forced migration in Iraq. Our goal is to understand the connection between open-source data and possible leading indicators of forced ...
Mapping Physician Twitter Networks: Describing How They Work as a First Step in Understanding Connectivity, Information Flow, and Message Diffusion
(JMIR Publications, 2014)
Twitter is becoming an important tool in medicine, but there is little information on Twitter metrics. In order to recommend best practices for information dissemination and diffusion, it is important to first study and ...
Social networks reveal cultural behaviour in tool - using dolphins
(Nature Publishing Group, 2012)
Animal tool use is of inherent interest given its relationship to intelligence, innovation and cultural behaviour. Here we investigate whether Shark Bay bottlenose dolphins that use marine sponges as hunting tools (spongers) ...
Exploring community structure in biological networks with random graphs
(BioMed Central, 2014)
Community structure is ubiquitous in biological networks. There has been an increased interest in unraveling the community structure of biological systems as it may provide important insights into a system’s functional ...
Visualizing node attribute uncertainty in graphs
Visualizations can potentially misrepresent information if they ignore or hide the uncertainty that are usually present in the data. While various techniques and tools exist for visualizing uncertainty in scientific ...
Public Information Exposure Detection: Helping Users Understand Their Web Footprints
To help users better understand the potential risks associated with publishing data publicly, as well as the quantity and sensitivity of information that can be obtained by combining data from various online sources, ...
Finding Prominent Actors in Dynamic Affiliation Networks
(Academy of Science and Engineering, 2012)
Most networks contain embedded communities or groups that impact the overall gathering and dissemination of ideas and information. These groups consist of important or prominent individuals who actively participate in ...
Data cleansing & Transformation of Observational Scientific Data : A Case Study
This paper investigates information quality as it pertains to observational scientific data. Specifically, we focus on presenting a case study for initial efforts related to data cleansing and data transformation of 20 ...
Challenges for dynamic, heterogeneous networks in observational sciences
(CRS Press, 2008)
Visual Analysis of Dynamic Group Membership in Temporal Social Networks
(Association for Computing Machinery, 2007)
C-Group is a tool for analyzing dynamic group membership in temporal social networks over time. Unlike most network visualization tools, which show the group structure within an entire network, or the group membership for ...