Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Social networks are popular platforms for interaction, communication, and collaboration beten friends. Researchers have recently proposed an emerging class of applications that leverage relationships from social networks to improve security and performance in applications such as email, b browsing, and overlay routing. While these applications often cite social network connectivity statistics to support their designs, researchers in psychology and sociology have repeatedly cast doubt on the practice of inferring meaningful relationships from social network connections alone. This leads to the question: “Are social links valid indicators of real user interaction? If not, then how can  quantify these factors to form a more accurate model for evaluating socially enhanced applications?” In this article,  address this question through a detailed study of user interactions in the Facebook social network.  propose the use of “interaction graphs” to impart meaning to online social links by quantifying user interactions.  analyze interaction graphs derived from Facebook user traces and show that they exhibit significantly lor levels of the “small-world” properties present in their social graph counterparts. This means that these graphs have fer “supernodes” with extremely high degree, and overall graph diameter increases significantly as a result. To quantify the impact of our observations,  use both types of graphs to validate several ll-known social-based applications that rely on graph properties to infuse new functionality into Internet applications, including Reliable Email (RE), SybilGuard, and the ighted cascade influence maximization algorithm. The results reveal new insights into each of these systems, and confirm our hypothesis that to obtain realistic and accurate results, ongoing research on social network applications studies of social applications should use real indicators of user interactions in lieu of social graphs.
['Christo Wilson', 'Alessandra Sala', 'Krishna P. N. Puttaswamy', 'Ben Y. Zhao']
I am writing a research paper on a idea Beyond Social Graphs: User Interactions in Online Social Networks and their Implications
[{"from": "human", "value": "I am writing a research paper on a idea Beyond Social Graphs: User Interactions in Online Social Networks and their Implications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Social networks are popular platforms for interaction, communication, and collaboration beten friends. Researchers have recently proposed an emerging class of applications that leverage relationships from social networks to improve security and performance in applications such as email, b browsing, and overlay routing. While these applications often cite social network connectivity statistics to support their designs, researchers in psychology and sociology have repeatedly cast doubt on the practice of inferring meaningful relationships from social network connections alone. This leads to the question: \u201cAre social links valid indicators of real user interaction? If not, then how can  quantify these factors to form a more accurate model for evaluating socially enhanced applications?\u201d In this article,  address this question through a detailed study of user interactions in the Facebook social network.  propose the use of \u201cinteraction graphs\u201d to impart meaning to online social links by quantifying user interactions.  analyze interaction graphs derived from Facebook user traces and show that they exhibit significantly lor levels of the \u201csmall-world\u201d properties present in their social graph counterparts. This means that these graphs have fer \u201csupernodes\u201d with extremely high degree, and overall graph diameter increases significantly as a result. To quantify the impact of our observations,  use both types of graphs to validate several ll-known social-based applications that rely on graph properties to infuse new functionality into Internet applications, including Reliable Email (RE), SybilGuard, and the ighted cascade influence maximization algorithm. The results reveal new insights into each of these systems, and confirm our hypothesis that to obtain realistic and accurate results, ongoing research on social network applications studies of social applications should use real indicators of user interactions in lieu of social graphs."}]