Social Media Commons^™

Facebooking In Distance Education: Constructing Virtual Communities Of Practice, Virginia M. Tucker

English Faculty Publications

The growth of distance education warrants a closer look at how virtual communities of practice form in asynchronous online classrooms. Prior studies have sought to identify a process to virtual community formation, which may vary depending upon the media used for collaboration. This microstudy examines how one student group in a distance writing course used the popular social media site Facebook to construct community and whether the stages of virtual community development were observed in this setting. Findings suggest that revisions might be made to our current understanding of the process of building virtual community within small groups. “Othering” and …

Facebook And Its Users: Using Grounded Theory To Understand Perceived Interactivity As A Constraint In The Rhetorical Situation, Katie Lee Retzinger Pruitt

English Theses & Dissertations

The general term interactivity has been used in a variety of disciplines to describe phenomena that occur in website interfaces; however, definitions and explanations about what constitutes interactivity and how it functions do not consider the specific ways in which interactivity can function and be perceived by users in specific rhetorical situations. In this study, I address the problems with the literature about general interactivity in writing studies and in other disciplines such as computer science, advertising, marketing, and communication studies by distinguishing between two types of interactivity—functional and perceived. I situate the different types of interactivity rhetorically, which can …

Modeling Social Strength In Social Media Community Via Kernel-Based Learning, Jinfeng Zhuang, Tao Mei, Steven C. H. Hoi, Xian-Sheng Hua, Shipeng Li

Research Collection School Of Computing and Information Systems

Modeling continuous social strength rather than conventional binary social ties in the social network can lead to a more precise and informative description of social relationship among people. In this paper, we study the problem of social strength modeling (SSM) for the users in a social media community, who are typically associated with diverse form of data. In particular, we take Flickr---the most popular online photo sharing community---as an example, in which users are sharing their experiences through substantial amounts of multimodal contents (e.g., photos, tags, geo-locations, friend lists) and social behaviors (e.g., commenting and joining interest groups). Such heterogeneous …

Mining Interesting Link Formation Rules In Social Networks, Cane Wing-Ki Leung, Ee Peng Lim, David Lo, Jianshu Weng

Research Collection School Of Computing and Information Systems

Link structures are important patterns one looks out for when modeling and analyzing social networks. In this paper, we propose the task of mining interesting Link Formation rules (LF-rules) containing link structures known as Link Formation patterns (LF-patterns). LF-patterns capture various dyadic and/or triadic structures among groups of nodes, while LF-rules capture the formation of a new link from a focal node to another node as a postcondition of existing connections between the two nodes. We devise a novel LF-rule mining algorithm, known as LFR-Miner, based on frequent subgraph mining for our task. In addition to using a support-confidence framework …

The Role Of Guanxi Network In The Corruption-Efficiency Relationship, Shaomin Li

Management Faculty Publications

Why do some countries like China thrive economically despite of corruption? The effect of corruption on economic efficiency is moderated by whether a society has an extensive informal social network such as the guanxi network in China. In societies with a thick, extensive informal social network, bribery- corruption relationship can be easily established and the risk of being reported is low. This relation-based trust makes the dissemination of corruption goods--the sale of government goods for private gains--more market-based. The competition among potential bribers increases the efficiency of corruption (or making corruption less wasteful). In societies that lack such strong informal …

What Do We Expect From Our Friends?, Stephen Leider, Markus M. Mobius, Tanya S. Rosenblat, Quoc-Anh Do

Research Collection School Of Economics

We conduct a field experiment in a large real-world social network to examine how subjects expect to be treated by their friends and by strangers who make allocation decisions in modified dictator games. Although recipients’ beliefs accurately account for the extent to which friends will choose more generous allocations than strangers (i.e., directed altruism), recipients are not able to anticipate individual differences in the baseline altruism of allocators (measured by giving to an unnamed recipient, which is predictive of generosity toward named recipients). Recipients who are direct friends with the allocator, or even recipients with many common friends, are no …

Social Software Programs: Student Preferences Of Librarian Use, Annie Epperson, Jennifer Leffler

University Libraries Publications

PURPOSE: The purpose of this paper is to present findings of an electronic survey to determine the extent of use of social software programs.

DESIGN/METHODOLOGY/APPROACH: The study was conducted to discover the extent to which students use social software programs, namely Facebook, MySpace, Instant Messaging and Second Life, and to determine their level of desire for having a librarian or library presence within those settings. A web survey was developed and distributed using convenience sampling. The survey was distributed to students at two college campuses located in the state of Colorado in the USA.

FINDINGS: The majority of respondents use …

Aggregation Techniques To Characterize Social Networks, Sara E. Sterling

Theses and Dissertations

Social network analysis focuses on modeling and understanding individuals of interest and their relationships. Aggregation of social networks can be used both to make analysis computationally easier on large networks, and to gain insight in subgroup interactions. Aggregation requires determining appropriate closely knit subgroups as well as choosing a measure or measures to represent the network data. This thesis provides the analyst with several techniques for using aggregation to analyze the characteristics of social networks. The contribution of this research lies in its ability to analyze a wide variety of social network structures and available data through two methods for …