Hochschule Ruhr West
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Implementierung und erste Effekte Smartphone-unterstützter körperlich-kognitiver Aktivitäten im Quartier zur Förderung der sozialen Teilhabe älterer Menschen
Designing two-part greywater fees: Conceptual framework and empirical evidence from Germany
Nachhaltige Gebührenmodelle in der Abwasserentsorgung – Teil II: Zur Eignung alternativer Grundgebührenmodelle für Schmutzwasser
Cultivating innovation and equity through commercialized spring water and co-production in peri-urban Bandung, Indonesia
"Quartier Agil" - Feasibility of Combined Physical and Cognitive Activities in the Community /Neighbourhood with Smartphone Support for Stimulating Social Participation in the Elderly.
Using attractiveness model for actors ranking in social media networks
Background:
Influential actors detection in social media such as twitter or Facebook can play a major role in gathering opinions on particular topics, improving the market
-
ing efficiency, predicting the trends, etc.
Proposed methods:
This work aims to extend our formally defined
T
measure to
present a new measure aiming to recognize the actor’s influence by the strength of
attracting new important actors into a networked community. Therefore, we propose a
model of the actor’s influence based on the attractiveness of the actor in relation to the
number of other attractors with whom he/she has established connections over time.
Results and conclusions:
Using an empirically collected social network for the
underlying graph, we have applied the above-mentioned measure of influence in
order to determine optimal seeds in a simulation of influence maximization. We study
our extended measure in the context of information diffusion because this measure is
based on a model of actors who attract others to be active members in a community.
This corresponds to the idea of the IC simulation model which is used to identify the
most important spreaders in a set of actors.
Keywords: Actor influence, Social media networks, Twitter, IC model, Information
diffusion, Independent cascade model, T measur
Investitionsstau in der Abwasserentsorgung – Ausgewählte Lösungsansätze aus ökonomischer und ingenieurwissenschaftlicher Perspektive
IEEE Workshop Industrial and Medical Measurement and Sensor Technology Vehicle Sensor Technology - Abstract Book
IEEE Workshop 2017 Sensorica
June, 8th - 9th 201
Applying step heating thermography to wind turbine rotor blades as a non-destructive testing method
Future Energy Sales – Wie entscheiden junge Kunden?
Abschlussbericht zum Projekt zur
Digitalisierung in der Energiewirtschaft
im Modul
„Marktforschung – Statistische Auswertung mit SPSS“
im Wintersemester 2016/2017
Studierende des Moduls,
Matthias Musiol und Prof. Dr. Ellen Roeme