<p>The probability of retweeting as a function of the number of followees who have tweeted a post, (A) averaged over all users, (B) by breaking down users into classes based on the number of following friends they have, (C) by breaking down users into classes based on the betweenness in their ego networks, and (D) by breaking down users into classes based on the clustering coefficient in their ego networks. Medians of betweenness and clustering coefficient are used as cut-points for grouping users.</p
The term ‘viral’ is used to describe a phenomenon that tends to be shared by those who encounter it....
Information sharing and user-generated content on the Internet has given rise to the increased prese...
In this paper, we investigate the network processes behind the popularity metrics (i.e. retweet coun...
Clustered structure of social networks provides the chances of repeated exposures to carriers with s...
<p>a) Expected degree distributions for a 1.25% random sample of the Twitter network (black line), f...
Recently, retweeting is found to be an important action to understand diffusion in microblogging sit...
275 pagesThe main contributions of this thesis can be organized under two main themes: knowledge dis...
In this era, social media is becoming a suitable place for discovering and exchanging new updates. T...
Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program...
Abstract—Most previous analysis of Twitter user behavior is focused on individual information cascad...
Newcomers to a social network show preferential attachment, a tendency to befriend those with many f...
2015-07-22The spread of information in an online social network is a complex process that depends on...
This paper demonstrates a cluster-based method to isolate influence in social network-based observat...
Microblogging and social news web sites like Twitter are largely used as an important source of up-t...
Abstract The use of community detection techniques for understanding audience fragmentation and sele...
The term ‘viral’ is used to describe a phenomenon that tends to be shared by those who encounter it....
Information sharing and user-generated content on the Internet has given rise to the increased prese...
In this paper, we investigate the network processes behind the popularity metrics (i.e. retweet coun...
Clustered structure of social networks provides the chances of repeated exposures to carriers with s...
<p>a) Expected degree distributions for a 1.25% random sample of the Twitter network (black line), f...
Recently, retweeting is found to be an important action to understand diffusion in microblogging sit...
275 pagesThe main contributions of this thesis can be organized under two main themes: knowledge dis...
In this era, social media is becoming a suitable place for discovering and exchanging new updates. T...
Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program...
Abstract—Most previous analysis of Twitter user behavior is focused on individual information cascad...
Newcomers to a social network show preferential attachment, a tendency to befriend those with many f...
2015-07-22The spread of information in an online social network is a complex process that depends on...
This paper demonstrates a cluster-based method to isolate influence in social network-based observat...
Microblogging and social news web sites like Twitter are largely used as an important source of up-t...
Abstract The use of community detection techniques for understanding audience fragmentation and sele...
The term ‘viral’ is used to describe a phenomenon that tends to be shared by those who encounter it....
Information sharing and user-generated content on the Internet has given rise to the increased prese...
In this paper, we investigate the network processes behind the popularity metrics (i.e. retweet coun...