2015 International Conference on Computing, Networking and Communications (ICNC) 2015
DOI: 10.1109/iccnc.2015.7069459
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Understanding social effects in online networks

Abstract: Understanding the motives behind people's interactions online can offer sound bases to predict how a social network may evolve and also support a host of applications. We hypothesize that three offline social factors, namely, stature, relationship strength, and egocentricity may also play an important role in driving users' interactions online. Therefore, we study the influence of these three social factors in online interactions by analyzing the transitivity in triads or three-way relationships among users. A… Show more

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Cited by 6 publications
(2 citation statements)
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References 40 publications
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“…If the naming of the actors is left out, it is possible to reduce the number of possible combinations of relationships involving three actors from 64 specific ordered triples to 16 isomorphic types of triads of which only four are transitive. The four transitive triads illustrated in Figure 3 are all closed, but the ties linking the actors are not all bi-directional (Alhazmi et al , 2015; Wasserman and Faust, 1994 chapter 6).…”
Section: The Desirability Of (In) Transitivity Of Entry Nodesmentioning
confidence: 99%
“…If the naming of the actors is left out, it is possible to reduce the number of possible combinations of relationships involving three actors from 64 specific ordered triples to 16 isomorphic types of triads of which only four are transitive. The four transitive triads illustrated in Figure 3 are all closed, but the ties linking the actors are not all bi-directional (Alhazmi et al , 2015; Wasserman and Faust, 1994 chapter 6).…”
Section: The Desirability Of (In) Transitivity Of Entry Nodesmentioning
confidence: 99%
“…A person can use these social applications at any time to contact with friends and send messages regardless of age, gender, and even socioeconomic status [19][20][21]. These messages should contain sensitive and private information, e.g., location [22], channel state information [23], routing information [24], social relationships [25], browsing data of Internet [26], health data [27], and financial transactions [28]. Obviously, the person should be worried about disclosures of personal information, which may be harmful to him either in virtual or real world [13,29,30].…”
Section: Related Workmentioning
confidence: 99%