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Results 11 - 20
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535
Identification of influential social networkers
- International Journal of Web Based Communities
, 2012
"... Online social networking is deeply interleaved in todays lifestyle. People come together and build communities to share thoughts, offer suggestions, exchange in formation, ideas, and opinions. Moreover, social networks often serve as platforms for information dissemination and product placement or p ..."
Abstract
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Cited by 1 (0 self)
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or promotion through viral marketing. The success rate in this type of marketing could be increased by tar geting specific individuals, called “influential users”, having the largest possible reach within an online community. In this paper we present a method aiming at identifying the influential users within
In the Mood for Being Influential on Twitter
"... Abstract—Researchers have widely studied how information diffuses in Twitter and have often done so by modeling the social-networking site as a communication graph in which tweets spread depending on its nodes ’ graph properties (e.g., degree, centrality). The resulting models are tractable but make ..."
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Cited by 9 (1 self)
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is unobtrusively observable in tweets: the use of language. We thus carry out a study of tweets- more specifically, we compare five different categories of user (one of which is influencer) and look at their language use. We find that popular and influential users linguistically structure their tweets in specific
Everyone’s an influencer: quantifying influence on twitter
- in Proceedings of the fourth ACM international conference on Web search and data mining
"... In this paper we investigate the attributes and relative influence of 1.6M Twitter users by tracking 74 million diffusion events that took place on the Twitter follower graph over a two month interval in 2009. Unsurprisingly, we find that the largest cascades tend to be generated by users who have b ..."
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Cited by 211 (5 self)
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strategies, defined by the relative cost of identifying versus compensating potential “influencers.” We find that although under some circumstances, the most influential users are also the most cost-effective, under a wide range of plausible assumptions the most cost-effective performance can be realized
Identifying the Influentials in Blogosphere
"... Blogging becomes a popular way for a Web user to publish information on the Web. Bloggers write blog posts, share their likes and dislikes, voice their opinions, provide suggestions, report news, and form groups in Blogosphere. As its size doubled for every 6 months, Blogosphere is expanding with ab ..."
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Blogging becomes a popular way for a Web user to publish information on the Web. Bloggers write blog posts, share their likes and dislikes, voice their opinions, provide suggestions, report news, and form groups in Blogosphere. As its size doubled for every 6 months, Blogosphere is expanding
D (2012) Identifying Influential and Susceptible Members of Social Networks
- Science, published online June
"... Identifying social influence in networks is critical to understanding how behaviors spread. We present a method that uses in vivo randomized experimentation to identify influence and susceptibility in networks while avoiding the biases inherent in traditional estimates of social contagion. Estimatio ..."
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Cited by 78 (0 self)
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. Estimation in a representative sample of 1.3 million Facebook users showed that younger users are more susceptible to influence than older users, men are more influential than women, women influence men more than they influence other women, and married individuals are the least susceptible to influence
Discovering Context-aware Influential Objects
"... It is very helpful for a user to get a moderate amount of information highly related to his/her immediate context (e.g., location, time, discussion topics) during the exploration of digital object collections (e.g., articles, web pages, blogs). For instance, in investigating a research topic, a rese ..."
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researcher may be very interested in finding articles that are most related to the articles he/she already read on this topic, which we consider as “context ” in this paper. To facilitate users ’ exploration, we introduce the problem of discovering Contextaware Influential Objects (CIO) from a collection
Identifying Influential Bloggers: Time Does Matter
, 905
"... Abstract—Blogs have recently become one of the most favored services on the Web. Many users maintain a blog and write posts to express their opinion, experience and knowledge about a product, an event and every subject of general or specific interest. More users visit blogs to read these posts and c ..."
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Cited by 2 (0 self)
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Abstract—Blogs have recently become one of the most favored services on the Web. Many users maintain a blog and write posts to express their opinion, experience and knowledge about a product, an event and every subject of general or specific interest. More users visit blogs to read these posts
Influential Words: Natural Language in Interactive Storytelling
, 2003
"... In this paper, we introduce the use of Natural Language as a paradigm for influence of plans that are used to drive the behaviour of characters in Interactive Storytelling. We briefly introduce our character-centered approach to Interactive Story system is briefly introduced, and the knowledge repre ..."
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representation of stories. Using an example based upon a fully implement first prototype, we discuss how the user is able to interfere with a story by issuing advice to the characters, and how the recognized speech acts are mapped onto their plans.
Finding Influential Neighbors to Maximize Information Diffusion in Twitter
"... The problem of spreading information is a topic of consid-erable recent interest, but the traditional influence maxi-mization problem is inadequate for a typical viral marketer who cannot access the entire network topology. To fix this flawed assumption that the marketer can control any arbi-trary k ..."
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Cited by 1 (0 self)
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-trary k nodes in a network, we have developed a decentral-ized version of the influential maximization problem by influ-encing k neighbors rather than arbitrary users in the entire network. We present several reasonable neighbor selection schemes and evaluate their performance with a real dataset
Understanding Classifier Errors by Examining Influential Neighbors
"... Modern supervised learning algorithms can learn very accurate and complex discriminating functions. But when these classifiers fail, this complexity can also be a drawback because there is no easy, intuitive way to diagnose why they are failing and remedy the problem. This important ques-tion has re ..."
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the label of a given test example, the user can find and review the most influential training examples that caused this misprediction, allowing them to focus their attention on relevant areas of the data space. This will aid the user in determining if and how the train-ing data is inconsistently labeled
Results 11 - 20
of
535
