TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Qasem, Ziyaad
A1  - Jansen, Marc
A1  - Hecking, Tobias
A1  - Hoppe, Heinz Ulrich
T1  - Using attractiveness model for actors  ranking in social media networks
JF  - Computational Social Networks
N2  - 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 measure
Y1  - 2017
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:1393-opus4-1688
UR  - https://link.springer.com/article/10.1186/s40649-017-0040-8
SN  - 2197-4314
SS  - 2197-4314
U6  - https://doi.org/10.1186/s40649-017-0040-8
DO  - https://doi.org/10.1186/s40649-017-0040-8
VL  - 4
IS  - 1
SP  - 1
EP  - 15
ER  -