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What and Who
Title:Shaping Social Activity by Incentivizing Users
Speaker:Manuel Gomez Rodriguez
coming from:Max Planck Institute for Software Systems
Speakers Bio:
Event Type:Joint Lecture Series
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Language:English
Date, Time and Location
Date:Wednesday, 7 January 2015
Time:12:15
Duration:60 Minutes
Location:Saarbrücken
Building:E1 5
Room:002
Abstract
Events in an online social network can be categorized roughly into
endogenous events, where users just respond to the actions of their
neighbors within the network, or exogenous events, where users take
actions due to drives external to the network. How much external drive
should be provided to each user, such that the network activity can be
steered towards a target state? In this paper, we model social events
using multivariate Hawkes processes, which can capture both endogenous
and exogenous event intensities, and derive a time dependent linear
relation between the intensity of exogenous events and the overall
network activity. Exploiting this connection, we develop a convex
optimization framework for determining the required level of external
drive in order for the network to reach a desired activity level. We
experimented with event data gathered from Twitter, and show that our
method can steer the activity of the network more accurately than
alternatives.
Contact
Name(s):Jennifer Müller
Phone:2900
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
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Attachments, File(s):
Created by:Jennifer Müller/ZB/MPII/DE, 09/22/2014 11:08 AMLast modified by:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Jennifer Müller, 12/18/2014 02:41 PM
  • Jennifer Müller, 09/22/2014 11:09 AM -- Created document.