Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Elizabeth K. Bowman"'
Autor:
Boleslaw K. Szymanski, Elizabeth K. Bowman, Casey Doyle, Alex Meandzija, Gyorgy Korniss, Derrik E. Asher
Publikováno v:
ASONAM
To study the detailed effects of social media consumption on personal opinion dynamics, we gather self reported survey data on the volume of different media types an individual must consume before forming or changing their opinion on a subject. We th
Autor:
Elizabeth K. Bowman
Publikováno v:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX.
Publikováno v:
Next-Generation Analyst VI.
This paper discusses applying automated social media analytics to address challenges facing the OSINT analyst. The growing use and trust of social media presents significant potential for planning, executing, and assessing military information suppor
Autor:
Sue E. Kase, Elizabeth K. Bowman, Serena Oggero, Lasse Øverlier, Randall J. Zimmerman, Gertjan J. Burghouts
Publikováno v:
Next-Generation Analyst VI.
The US and nations of the NATO Alliance are increasingly threatened by the global spread of terrorism, humanitarian crises/disaster response, and public health emergencies. These threats are influenced by the unprecedented rise of information sharing
Autor:
Sue E. Kase, Elizabeth K. Bowman
Publikováno v:
SocialSens@IoTDI
Social Computing technologies that harvest and analyze forensic social and digital media will boost agility of Command and Control (C2) through deep understanding of adversary perspectives, intent, and actions. The pooling of social science theory, a
Autor:
Yifeng Gao, Steve Thomas, Elizabeth K. Bowman, Vadas Gintautas, Matthew William Turek, Carolyn Penstein Rosé, Ranjeev Mittu, Reed Porter, Jessica Lin, Christopher Bogart, Qingzhe Li, Xiaosheng Li, Peter Shargo, Samrihdi Shree Choudhari, Paul Tunison, Keith Maki
Publikováno v:
SPIE Proceedings.
Today’s warfighters operate in a highly dynamic and uncertain world, and face many competing demands. Asymmetric warfare and the new focus on small, agile forces has altered the framework by which time critical information is digested and acted upo
Publikováno v:
SPIE Proceedings.
This paper describes characteristics of information flow on social channels, as a function of content type and relations among individual sources, distilled from analysis of Twitter data as well as human subject survey results. The working hypothesis
Publikováno v:
SocialSens@CPSWeek
In this paper, we consider the demographics associated with social media users as a basis for determining how to interact with a population group to inform military operations such as humanitarian aid and disaster relief (HADR). With social media use
Autor:
P. Seetharamu, Tanvir Al Amin, Elizabeth K. Bowman, Lance M. Kaplan, Jemin George, Shiguang Wang, Tarek Abdelzaher, Hongwei Wang, Prasanna Giridhar, Heather Roy
This chapter demonstrates the utility of exploiting signal processing techniques common to physical sensing modalities in order to reconstruct conditions of the physical world from social network feeds. We show that, as a sensing modality, social sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbdb7713341b6435c49d1e57a717f339
https://doi.org/10.1016/b978-0-12-803801-7.00011-0
https://doi.org/10.1016/b978-0-12-803801-7.00011-0
Autor:
Heather Roy, Michael A. Kolodny, Md. Tanvir Al Amin, Prasanna Giridhar, Tarek Abdelzaher, Elizabeth K. Bowman, Shiguang Wang
Publikováno v:
SPIE Proceedings.
Signal processing techniques such as filtering, detection, estimation and frequency domain analysis have long been applied to extract information from noisy sensor data. This paper describes the exploitation of these signal processing techniques to e