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- item-1 hasContent dieter-koenig.
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- 287 creator andreas-kaltenbrunner.
- 287 creator vicenc-gomez.
- 287 creator vicente-lopez.
- 287 type InProceedings.
- 287 label "Statistical analysis of the social network and discussion threads in Slashdot".
- 287 sameAs 287.
- 287 abstract "We analyze the social network emerging from the user comment activity on the website Slashdot. The network presents common features of traditional social networks such as a giant component, small average path length and high clustering, but differs from them showing moderate reciprocity and neutral assortativity by degree. Using Kolmogorov-Smirnov statistical tests, we show that the degree distributions are better explained by log-normal instead of power-law distributions. We also study the structure of discussion threads using an intuitive radial tree representation. Threads show strong heterogeneity and self-similarity throughout the different nesting levels of a conversation. We use these results to propose a simple measure to evaluate the degree of controversy provoked by a post.".
- 287 hasAuthorList authorList.
- 287 hasTopic World_Wide_Web.
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- 287 keyword "bulletin board".
- 287 keyword "discussion thread".
- 287 keyword "h-index".
- 287 keyword "lognormal".
- 287 keyword "social network".
- 287 title "Statistical analysis of the social network and discussion threads in Slashdot".
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- item-1 hasContent vicenc-gomez.
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- 288 creator jie-li.
- 288 creator narayanan-sadagopan.
- 288 type InProceedings.
- 288 label "Characterizing Typical and Atypical User Sessions in Clickstreams".
- 288 sameAs 288.
- 288 abstract "Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and the perceived quality of search results. Often search engines rely on accurate estimates of Click Through Rate (CTR) to evaluate the quality of user experience. The vast heterogeneity in the user population and presence of automated software programs (bots) can result in high variance in the estimates of CTR. To improve the estimation accuracy of user experience metrics like CTR, we argue that it is important to identify typical and atypical user sessions in clickstreams. Our approach to identify these sessions is based on detecting outliers using Mahanalobis distance in the user session space. Our user session model incorporates several key clickstream characteristics including a novel conformance score obtained by Markov Chain analysis. Editorial results show that our approach of identifying typical and atypical sessions has a precision of about 89%. Filtering out these atypical sessions reduces the uncertainty (95% confidence interval) of the mean CTR by about 40%. These results demonstrate that our approach of identifying typical and atypical user sessions is extremely valuable for cleaning ``noisy" user session data for increased accuracy in evaluating user experience.".
- 288 hasAuthorList authorList.
- 288 hasTopic World_Wide_Web.
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- 288 keyword "clickstream analysis".
- 288 keyword "data mining".
- 288 title "Characterizing Typical and Atypical User Sessions in Clickstreams".
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- item-1 hasContent narayanan-sadagopan.
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- 290 creator davide-bolchini.
- 290 creator franca-garzotto.
- 290 creator paolo-paolini.
- 290 type InProceedings.
- 290 label "Value-Driven Design for "Infosuasive" Web Applications".
- 290 sameAs 290.
- 290 abstract "An infosuasive web application is mainly intended to be at the same time informative and persuasive, i.e., it aims at supporting knowledge needs and it has also the (declared or not declared) goal of influencing user’s opinions, attitudes and behaviors. Most web applications, in fact, are infosuasive (with the exception of those the aim of which is mainly operational). In this paper, we investigate the complex set of elements that inform the very early design of infosuasive web applications. We propose a conceptual framework aimed at supporting the actors involved in this process (strategic decision makers, marketers, business managers, brand designers, communication designers, graphic designers, information architects, technology experts) to integrate their different viewpoints, to organize the variety of issues that need to be analyzed, to find a direction in the numerous design options, and to finally represent the results of this activity in an effective way. Our approach is value-driven since it is centered around the concept of communication value, regarded as a vehicle to fulfill communication goals on specific communication targets. We place the analysis of these aspects in the wider context of web requirements analysis, highlighting their relationships with business values analysis and user needs analysis. We pinpoint how values and communication goals impact on various design dimensions of infosuasive web application - contents, information architecture, interaction, operations, and lay-out. Our approach is multidisciplinary, and was inspired by goal-based and value-based requirements engineering (often used in web engineering), to brand design (often used in marketing), and to value-centered design “frameworks” (as proposed by the HCI community). A case study exemplifies our methodological proposal, discussing a large project in which we are currently involved.".
- 290 hasAuthorList authorList.
- 290 hasTopic World_Wide_Web.
- 290 isPartOf proceedings.
- 290 keyword "communication".
- 290 keyword "goal-driven requirements".
- 290 keyword "persuasive design".
- 290 keyword "value".
- 290 keyword "web engineering".
- 290 title "Value-Driven Design for "Infosuasive" Web Applications".
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