John P. Hancock

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Ranking tweets is a fundamental task to make it easier to distill the vast amounts of information shared by users. In this paper, we explore the novel idea of ranking tweets on a topic using heterogeneous networks. We construct heterogeneous networks by harnessing cross-genre linkages between tweets and semantically-related web documents from formal genres,(More)
This paper describes the exploitation of hierarchical data names to achieve information-utility maximizing data collection in social sensing applications. We describe a novel transport abstraction, called the information funnel. It encapsulates a data collection protocol for social sensing that maximizes a measure of delivered information utility, that is(More)
A set of behavior rules, personal characteristics, group affiliations and roles was used to generate a dataset of mixed communication actions modeling those at a large organization. Several different approaches to community detection and modeling were applied to this generated dataset, in order to compare the strengths and range of applicability of(More)
Named data networking has emerged as a new architectural paradigm that replaces host-based addressing in today's networks with content-centric addressing. Rather than assigning IP addresses to hosts, it assigns names to data objects and supports hierarchical name spaces. This paper explores the benefits of naming data for the design of(More)
This poster describes the <i>information funnel</i>, a data collection protocol for social sensing that maximizes a measure of delivered information utility. We argue that information-centric networking (ICN), where data objects are named instead of hosts, is especially suited for utility-maximizing transport in resource-<i>constrained</i> environments,(More)
Summary: MOCAT2 is a software pipeline for metagenomic sequence assembly and gene prediction with novel features for taxonomic and functional abundance profiling. The automated generation and efficient annotation of non-redundant reference catalogs by propagating pre-computed assignments from 18 databases covering various functional categories allows for(More)
ORTHOGONAL AND SYMMETRIC HAAR WAVELETS ON THE 2010 Spherical signals can be found in a wide range of fields, including astronomy, computer graphics, medical imaging and geoscience. An efficient and accurate representation of spherical signals is therefore essential for many applications. For this reason, we derive a novel wavelet basis called 3D SOHO. It is(More)
The generality, autonomy, and mobility of autonomous objects open up new possibilities for supporting a broad range of requirements of federates and federations under the High Level Architecture (HLA). Their generality allows them to execute arbitrarily complex behaviors in heterogeneous environments without modification while their autonomy and mobility(More)
Motivation: Genome-wide association studies (GWASs) are commonly applied on human genomic data to understand the causal gene combinations statistically connected to certain diseases. Patients involved in these GWASs could be re-identified when the studies release statistical information on a large number of single-nucleotide polymorphisms. Subsequent work,(More)
Motivation: Moonlighting proteins (MPs) show multiple cellular functions within a single polypeptide chain. To understand the overall landscape of their functional diversity, it is important to establish a computational method that can identify MPs on a genome scale. Previously, we have systematically characterized MPs using functional and omics-scale(More)