Dynamic social network analysis using conversational dynamics in social networking and microblogging environments

Gabriel Stocco; Robert Savell; George Cybenko

doi:10.1117/12.852428

3 May 2010 Dynamic social network analysis using conversational dynamics in social networking and microblogging environments

Gabriel Stocco, Robert Savell, George Cybenko

Author Affiliations +

Proceedings Volume 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX; 766606 (2010) https://doi.org/10.1117/12.852428
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

In many security environments, the textual content of communications may be unavailable. In these instances, it is often desirable to infer the status of the network and its component entities from patterns of communication flow. Conversational dynamics among entities in the network may provide insight into important aspects of the underlying social network such as the formational dynamics of group structures, the active state of these groups, individuals' roles within groups, and the likelihood of individual participation in conversations. To gain insight into the use of conversational dynamics to facilitate Dynamic Social Network Analysis, we explore the use of interevent timings to associate entities in the Twitter social networking and micro-blogging environment. Specifically, we use message timings to establish inter-nodal relationships among participants. In addition, we demonstrate a new visualization technique for tracking levels of coordination or synchronization within the community via measures of socio-temporal coherence of the participants.

Citation Download Citation

Gabriel Stocco, Robert Savell, and George Cybenko "Dynamic social network analysis using conversational dynamics in social networking and microblogging environments", Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 766606 (3 May 2010); https://doi.org/10.1117/12.852428

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Social network analysis

Social networks

Algorithm development

Optical tracking

Network security

Visualization

Web 2.0 technologies

Show All Keywords

Keywords/Phrases

Search In:

Publication Years