An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing. / Rivero-Rodriguez, Alejandro; Pileggi, Paolo; Nykänen, Ossi.
7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN). Riga : IEEE, 2015. p. 89-93 (International Conference on Computational Intelligence, Communications and Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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TY - GEN
T1 - An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing
AU - Rivero-Rodriguez, Alejandro
AU - Pileggi, Paolo
AU - Nykänen, Ossi
PY - 2015
Y1 - 2015
N2 - The vast increase of personal sensor information is driving the rise in popularity of context-aware applications. Users crave and very often expect tailored services that are based on the users’ context or personal preferences. The users themselves, using forms, often provide such information. An inference solution typically addresses this problem. In this paper, we present and show by way of a real-world example, the first step towards incorporating information of the user’s social networking behavior in the inference task. We define an initial indicator of a particular social phenomenon, called Homophily, and describe how the indicator measures the presence of homophily at certain moments, also capturing the degree to which it is present. Different from existing indicators, ours lends itself to indicating the presence of homophily in a way that is easier to comprehend, so that it may be easily integrated into and reinforce context-aware semantic computing.
AB - The vast increase of personal sensor information is driving the rise in popularity of context-aware applications. Users crave and very often expect tailored services that are based on the users’ context or personal preferences. The users themselves, using forms, often provide such information. An inference solution typically addresses this problem. In this paper, we present and show by way of a real-world example, the first step towards incorporating information of the user’s social networking behavior in the inference task. We define an initial indicator of a particular social phenomenon, called Homophily, and describe how the indicator measures the presence of homophily at certain moments, also capturing the degree to which it is present. Different from existing indicators, ours lends itself to indicating the presence of homophily in a way that is easier to comprehend, so that it may be easily integrated into and reinforce context-aware semantic computing.
U2 - 10.1109/CICSyN.2015.26
DO - 10.1109/CICSyN.2015.26
M3 - Conference contribution
SN - 9781467370165
T3 - International Conference on Computational Intelligence, Communications and Networks
SP - 89
EP - 93
BT - 7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN)
PB - IEEE
CY - Riga
ER -