01104nas a2200145   4500008004100000020002200041245004700063210004700110260004700157520065900204100001700863700001500880700002000895856004300915       2009                        eng d  a978-0-7695-3823-500aQuantifying Reciprocity in Social Networks0 aQuantifying Reciprocity in Social Networks  aWashington, DC, USAbIEEE Computer Society3 a<p>In this paper we propose a new reciprocity index for quantifying social relationships based on mobile phone call detail records and Twitter blogs. We use this reciprocity index to measure the level of reciprocity between users. This work is useful for detecting unwanted calls (e.g., spam) and product marketing. For validation of our results, we used actual call logs of 100 users collected at MIT by the Reality Mining Project group for a period of 8 months and Twitter blogs of 460 users collected by the Network Security team at UNT for a period of 12 months. The experimental results show that our model achieves results with high accuracy.</p>
1 aZhang, Huiqi1 aDantu, Ram1 aCangussu, João  uhttp://dx.doi.org/10.1109/CSE.2009.399