Sciweavers

619 search results - page 79 / 124
» Characterizing user behavior in online social networks
Sort
View
SIGMETRICS
1997
ACM
111views Hardware» more  SIGMETRICS 1997»
15 years 4 months ago
Cache Behavior of Network Protocols
In this paper we present a performance study of memory reference behavior in network protocol processing, using an Internet-based protocol stack implemented in the x-kernel runnin...
Erich M. Nahum, David J. Yates, James F. Kurose, D...
121
Voted
CHI
2005
ACM
15 years 2 months ago
Seascape and volcano: visualizing online discussions using timeless motion
Motion is the strongest visual appeal to attention [2], yet it is rarely used in the visualization of large-scale quantitative information. Motion is complex; it can vary across n...
Francis Lam, Judith S. Donath
WWW
2011
ACM
14 years 7 months ago
Estimating sizes of social networks via biased sampling
Online social networks have become very popular in recent years and their number of users is already measured in many hundreds of millions. For various commercial and sociological...
Liran Katzir, Edo Liberty, Oren Somekh
120
Voted
RECSYS
2009
ACM
15 years 7 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
101
Voted
CHI
2007
ACM
16 years 27 days ago
Facebook ride connect
Ride Connect is a tool integrated into the social networking site Facebook's (www.Facebook.com) event planning feature. Ride Connect helps people coordinate transportation t...
John M. Booher, Balakrishna Chennupati, Nina S. On...