Using Self-reported Social Networks to Improve Opportunistic Networking

Using Self-reported Social Networks to Improve Opportunistic Networking
Author :
Publisher :
Total Pages : 0
Release :
ISBN-10 : OCLC:879704088
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Using Self-reported Social Networks to Improve Opportunistic Networking by : Greg Bigwood

Download or read book Using Self-reported Social Networks to Improve Opportunistic Networking written by Greg Bigwood and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Using Self-reported Social Networks to Improve Opportunistic Networking Related Books

Using Self-reported Social Networks to Improve Opportunistic Networking
Language: en
Pages: 0
Authors: Greg Bigwood
Categories: Online social networks
Type: BOOK - Published: 2012 - Publisher:

GET EBOOK

Routing in Opportunistic Networks
Language: en
Pages: 421
Authors: Isaac Woungang
Categories: Technology & Engineering
Type: BOOK - Published: 2013-09-10 - Publisher: Springer Science & Business Media

GET EBOOK

Routing in Opportunistic Networks focuses on the basics of opportunistic networks, modeling and communication in opportunistic networks, routing in opportunisti
Online Social Networks
Language: en
Pages: 118
Authors: Valerio Arnaboldi
Categories: Computers
Type: BOOK - Published: 2015-09-25 - Publisher: Elsevier

GET EBOOK

Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social netwo
Social Network Analysis
Language: en
Pages: 421
Authors: Xiaoming Fu
Categories: Computers
Type: BOOK - Published: 2017-03-31 - Publisher: CRC Press

GET EBOOK

The book addresses the issue of interdisciplinary understanding of collaboration on the topic of social network studies. Researchers and practitioners from vari
Modeling and Processing for Next-Generation Big-Data Technologies
Language: en
Pages: 524
Authors: Fatos Xhafa
Categories: Technology & Engineering
Type: BOOK - Published: 2014-11-04 - Publisher: Springer

GET EBOOK

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processin