Methods for extracting social network data from chatroom logs

O. Isaac Osesina; John P. McIntire; Paul R. Havig; Eric E. Geiselman; Cecilia Bartley; M. Eduard Tudoreanu

doi:10.1117/12.920019

24 May 2012 Methods for extracting social network data from chatroom logs

O. Isaac Osesina, John P. McIntire, Paul R. Havig, Eric E. Geiselman, Cecilia Bartley, M. Eduard Tudoreanu

Proceedings Volume 8389, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III; 83891H (2012) https://doi.org/10.1117/12.920019
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Identifying social network (SN) links within computer-mediated communication platforms without explicit relations among users poses challenges to researchers. Our research aims to extract SN links in internet chat with multiple users engaging in synchronous overlapping conversations all displayed in a single stream. We approached this problem using three methods which build on previous research. Response-time analysis builds on temporal proximity of chat messages; word context usage builds on keywords analysis and direct addressing which infers links by identifying the intended message recipient from the screen name (nickname) referenced in the message [1]. Our analysis of word usage within the chat stream also provides contexts for the extracted SN links. To test the capability of our methods, we used publicly available data from Internet Relay Chat (IRC), a real-time computer-mediated communication (CMC) tool used by millions of people around the world. The extraction performances of individual methods and their hybrids were assessed relative to a ground truth (determined a priori via manual scoring).

Citation Download Citation

O. Isaac Osesina, John P. McIntire, Paul R. Havig, Eric E. Geiselman, Cecilia Bartley, and M. Eduard Tudoreanu "Methods for extracting social network data from chatroom logs", Proc. SPIE 8389, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III, 83891H (24 May 2012); https://doi.org/10.1117/12.920019

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