The concept of Information Propagation has been studied to illustrate the particular, discrete, and explicit behavior of the nodes in a complex and highly distributed and connected networks. The complex network structure exhibits various challenges towards information propagation due to the usage of diversified communication protocol and dynamic behavior in the context of uncertainty. This pape...

Online social networks usage are pervasive now a days. Mining the text present in online social networks will be useful for predictive analytic. Predicting information from unstructured data present in the social networks is a challenging research problem. Extracting, identifying or otherwise characterizing the sentiment content of the text unit using statistics and machine learning methods are...

This paper investigates the evolution of the computational linguistics domain through a quantitative analysis of the ACL Anthology (containing around 12,000 papers published between 1985 and 2008). Our approach combines complex system methods with natural language processing techniques. We reconstruct the socio-semantic landscape of the domain by inferring a co-authorship and a semantic network...

background: recently, the relevance of social interactions as determinants of behavioral intentions has been increasingly perceived, but there is a lack of knowledge on how and why it interacts with couples’ fertility intentions. objective: this qualitative study was conducted to explore the influence of social network on couples’ intention to have their first child in urban society of mashhad,...

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This study found that most corporate personnel are using social media to communicate with colleagues to make the process of working more efficient. Complete satisfaction occurred on the use of security within the University’s computer network. The social network usage for communication, collaboration, entertainment and demonstrating concerns accounted for fifty percent of variance to predict in...

Empirical support for the assumption that cliques are major determinants of reputational influence derives largely from the frequent finding that organizations which claimed that their cliques’ connections are influential had an increased likelihood of becoming influential themselves. It is suggested that the strong and consistent connection in cliques is at least partially responsible for the ...

in recent years, the data used for analysis of social networks become very huge and restrictive so that it can be used an appropriate and small sampled network of original network for analysis goals. Sampling social network is referred to collect a small subgraph of original network with high property similarities between them. Due to important impact of sampling on the social network analyses,...

Online Social Networks have become an important part of daily digital interactions for more than half a billion users around the world. The various personal information sharing practices that online social network providers promote have led to their success as innovative social interaction platforms. At the same time, these practices have raised much critique and concerns with respect to privac...