So far we do not have much serious scholarship on the study of polygamy in ancient China, except for collections of literary compositions. Keith McMahon's newest book, Women Shall Not Rule: Imperial Wives and Concubines in China from Han to Liao, fills in this blank in the field of Chinese studies. In this book, written with conscientiousness and compassion, Keith McMahon illustrates early Chin...

Serious concerns have been raised about the role of ‘socialbots’ in manipulating public opinion and influencing the outcome of elections by retweeting partisan content to increase its reach. Here we analyze the role and influence of socialbots on Twitter by determining how they contribute to retweet diffusions. We collect a large dataset of tweets during the 1st U.S. Presidential Debate in 2016...

We describe a link prediction method based on a scalable community detection algorithm. It can be used to recommend new links in a real world social network with millions of users. Using a Hadoop cluster, we test our implementation on a Twitter user network containing 40 million users and 1.4 billion connections. We show that communities detected can then be used to recommend new users to follo...

This paper analyzes influential factors of recommendation behaviour in social network sites (SNSs). Extant research on both SNSs and electronic word of mouth (eWOM) has given insufficient attention to SNSs as a potential eWOM channel. Considering the specificities of SNSs, this paper distinguishes implicit and explicit recommendation behaviour. Drawing upon research on eWOM, SNSs, and knowledge...

Social media and social networks contribute to shape the debate on societal and policy issues, but the dynamics of this process is not well understood. As a case study, we monitor Twitter activity on a wide range of environmental issues. First, we identify influential users and communities by means of a network analysis of the retweets. Second, we carry out a content-based classification of the...

The ability to identify the most influential users in a social network could have applications in online marketing or advertising. If marketers can target these influential users, it can allow them to increase the effect of their advertising campaign (Domingos, 2005). In this paper, we first model a network, then run experiments on this model and compare the results to the findings of Kempe, Kl...

Motivated by the need for a better understanding of the acceptance and use of business to business information systems, this study builds upon the technology acceptance model to study the use of an Internet business-to-business information system in a leading Chinese information technology provider and its distributors In particular the study investigates individual users’ acceptance of a busin...