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Many recent studies on finance and social networks discovered that investor's attention is correlated to the financial market movement in terms of the price shocks. Following related findings, a significant and challenging problem is to forecast the direction of the market movement based on vast social media activities. Appropriately processing social networks data and developing models to capture...
To incentivize users' participations, online social networks often provide users with various rewards for their contributions to the sites. Attracted by the rewards, users will spend more time using the network services. Specifically, in this paper, we will mainly focus on “badges reward systems”. Badges are small icons attached to users' homepages and profiles denoting their achievements. People...
We focus on analysis of dominance, power, influence — that by definition asymmetric — between pairs of individuals in social networks. We conduct dominance analysis based on the canonical analysis of asymmetry that decomposes a square asymmetric matrix into two parts, a symmetric one and a skew-symmetric one, and then applies the singular value decomposition (SVD) on the skew-symmetric part. Each...
Currently available artificial network generation models are characterized by consistency and low variance due to the rigidity of models' underlying assumptions. Networks generated from these models are usually too regular and do not contain noise and imbalance inherent in networks induced by human behavior. An important consequence is that much research on social network analysis presented in recent...
Social influence has been a widely accepted phenomenon in social networks for decades. In this paper, we study influence from the perspective of structure, and focus on the simplest group structure — triad. We analyze two different genres of behavior: Retweeting on Weibo1 and Paying on CrossFire2. We have several intriguing observations from these two networks. First, different internal structures...
Although the spiral of silence theory has been studied thoroughly in the traditional dissemination field, to our best knowledge, no one has clearly verified the applicability of the spiral of silence theory in social networks based on the real information propagation datasets. In this paper, we focus on the disparity between majority and minority opinions, we verify the applicability of the spiral...
During the past decade there has been a growing research interest in the effects of social support, characterized by social relationships and affiliation, on health. As health management is largely a social process, social networks have been theorized to impact health outcomes. We find however, an important gap in the literature. Little attention has been given to how the social structure and social...
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