1457 Slices
Medium 9781601323101

Using Influence for Navigation in Online Social Networks

Hamid R. Arabnia, Mary Q. Yang, George Jandieri, James J. (Jong Hyuk) Park, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

44

Int'l Conf. on Advances in Big Data Analytics | ABDA'14 |

Using Influence for Navigation in Online Social

Networks

Bastien Lebayle1 , Mehran Asadi2 and Afrand Agah1

(Corresponding author: Afrand Agah)

(Email: aagah@wcupa.edu)

Department of Computer Science, West Chester University1

West Chester, PA 19383

Department of Business and Entrepreneurial Studies, The Lincoln University2

Lincoln University, PA 19352

Abstract

If influence is the capacity to have an effect on someone, then who are the influential people in an Online

Social Network?

In this paper, we investigate the role of influential people in an Online Social Network. Then we present an algorithm that take advantage of influential people to reach a target in the network. Our navigation algorithm returns a path between two nodes in an average of 10% less iterations, with a maximum of 83% less iterations, and only relies on public attributes of a node in the network.

1

Here we are interested in connectedness at the level of behavior - the fact that each individual’s actions have implicit consequences on the outcomes of everyone in the system [4]. We investigate prediction of peoples behavior and influences in online social networks. Our focus is on how different nodes can play distinct roles in information flow through an online social network.

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Medium 9781601323217

Determining Human-Perceived Level of Safety in Transportation Systems Using Big Data Analytics

Hamid R. Arabnia, Leonidas Deligiannidis, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

160

Int'l Conf. Internet Computing and Big Data | ICOMP'14 |

Determining Human-Perceived Level of Safety in

Transportation Systems using Big Data Analytics

Carlos E. Otero, Marco Rossi, Adrian Peter and Rana Haber

Florida Institute of Technology, Melbourne Florida, USA cotero@fit.edu, mrossi2013@my.fit.edu, apeter@fit.edu, rhaber@fit.edu

Abstract—Road safety continues to pose a significant problem in the United States. Although significant time, effort, and money have been spent to improve transportation management systems and decrease accidents, statistics show that this epidemic continues to remain unsolved. This highlights the need for advanced data systems that complement existing technology and help identify and solve today’s challenging safety problems in transportation system. To this end, this paper presents work-in-progress to create a big data analytics system for transportation safety management. The initial work focuses on determining human-perceived level of safety in areas of emphasis within transportation safety.

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Medium 9781601323651

SESSION Education Strategies and E-Learning

Hamid Arabnia, Leonidas Deligiannidis, Ray Hashemi CSREA Press PDF

Int'l Conf. Information and Knowledge Engineering | IKE'16 |

SESSION

EDUCATIONAL STRATEGIES AND E-LEARNING

Chair(s)

TBA

ISBN: 1-60132-441-3, CSREA Press ©

41

42

Int'l Conf. Information and Knowledge Engineering | IKE'16 |

ISBN: 1-60132-441-3, CSREA Press ©

Int'l Conf. Information and Knowledge Engineering | IKE'16 |

43

Information retrieval at the PPGEGC Theses and

Dissertations Library Catalog

Guilherme Bertoni Machado¹, Larissa Mariany Freiberger Pereira¹, José Leomar Todesco¹, Alexandre

Leopoldo Gonçalves¹

1

Graduate Program in Engineering and Knowledge Management, Federal University of Santa Catarina,

Florianópolis, Santa Catarina, Brazil

Abstract - This paper proposes a hierarchical navigational taxonomy structure to organize the documents available at the Theses and Dissertations Library Catalog of the Graduate

Program in Engineering and Knowledge Management

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Medium 9781601323200

Eliminating Cognitive Ambiguity with Knowledge Relativity Threads

CSREA 2003 CSREA Press PDF

Int'l Conf. Artificial Intelligence | ICAI'14 |

321

Eliminating Cognitive Ambiguity with Knowledge Relativity Threads

James A. Crowder, John N. Carbone

Raytheon Intelligence, Information, and Services

16800 E. Centretech Parkway, Aurora, Colorado 80011

Abstract - Today, systems and humans continue to struggle with satisfying the desire to obtain the true essence of, and actionable knowledge from, an ever increasing and inherently duplicative, non-context specific, multi-disciplinary information content. Continuous improvement via increased automation has been the engineering norm for centuries. Now, automation has evolved to autonomous systems research and is our immediate future. Humans are expanding exploration within ever challenging environments generally unfriendly to the physical human condition. Simultaneously, the volume, velocity, variety, and complexity of systems and data continue to increase rapidly. However, development of valuable readily consumable knowledge and context quality continues to improve more slowly and incrementally.

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Medium 9781601323248

Session - Pattern Recognition, Image Retrieval Methods, Image Feature Extraction and feature Mapping, Image Segmentation, Edge Detection

Hamid R. Arabnia, Leonidas Deligiannidis Joan Lu, Fernando G. Tinetti, Jane You, George Jandieri, Gerald Schaefer, and Ashu M.G. Solo CSREA Press PDF

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