Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the last few years, Online Social Networks (OSNs) attracted the interest of a large number of researchers, thanks to their central role in the society. Through the analysis of OSNs, many social phenomena have been studied, such as the viral diffusion of information amongst people. What is still unclear is the relation beten micro-level structural properties of OSNs (i.e. the properties of the personal networks of the users, also known as ego networks) and the emergence of such phenomena. A better knowledge of this relation could be essential for the creation of services for the Future Internet, such as highly personalised advertisements fitted on users' needs and characteristics. ,  contribute to bridge this gap by analysing the ego networks of a large sample of Facebook and Twitter users.  show that micro-level structural properties of OSNs are interestingly similar to those found in social networks formed offline. In particular, online ego networks show the same structure found offline, with social contacts arranged in layers with compatible size and composition. From the analysis of Twitter ego networks,  have been able to find a direct impact of tie strength and ego network circles on the diffusion of information in the network. Specifically, there is a high correlation beten the frequency of direct contact beten users and her friends in Twitter (a proxy for tie strength), and the frequency of retets made by the users from tets generated by their friends.  analysed the correlation for each ego network layer identified in Twitter, discovering their role in the diffusion of information.
['Valerio Arnaboldi', 'Marco Conti', 'Massimiliano La Gala', 'Andrea Passarella', 'Fabio Pezzoni']
I am writing a research paper on a idea Ego network structure in online social networks and its impact on information diffusion
[{"from": "human", "value": "I am writing a research paper on a idea Ego network structure in online social networks and its impact on information diffusion"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the last few years, Online Social Networks (OSNs) attracted the interest of a large number of researchers, thanks to their central role in the society. Through the analysis of OSNs, many social phenomena have been studied, such as the viral diffusion of information amongst people. What is still unclear is the relation beten micro-level structural properties of OSNs (i.e. the properties of the personal networks of the users, also known as ego networks) and the emergence of such phenomena. A better knowledge of this relation could be essential for the creation of services for the Future Internet, such as highly personalised advertisements fitted on users' needs and characteristics. ,  contribute to bridge this gap by analysing the ego networks of a large sample of Facebook and Twitter users.  show that micro-level structural properties of OSNs are interestingly similar to those found in social networks formed offline. In particular, online ego networks show the same structure found offline, with social contacts arranged in layers with compatible size and composition. From the analysis of Twitter ego networks,  have been able to find a direct impact of tie strength and ego network circles on the diffusion of information in the network. Specifically, there is a high correlation beten the frequency of direct contact beten users and her friends in Twitter (a proxy for tie strength), and the frequency of retets made by the users from tets generated by their friends.  analysed the correlation for each ego network layer identified in Twitter, discovering their role in the diffusion of information."}]