Staying Socially Connected with Video Communication: a Case Study
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Methods Exam Reading List August 2016 Creswell
Methods Exam Reading List August 2016 Creswell, John. 2014. Research Design: Qualitative, Quantitative and Mixed Methods Approaches. Sage 94th edition). Emerson, Robert, Rachel Fretz and Linda Shaw. 2011. Writing Ethnographic Fieldnotes (Second Edition). Univ. of Chicago Press. Ragin, Charles. 1987. The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. Univ. of California Press. Liamputtong, Pranee. 2011. Focus Group Methodology Principle and Practice. Sage Publishing. Weiss, Robert. 1994. Learning from Strangers: The Art and Methods of Qualitative Interview Studies. Free Press. Chamblis, D.F. and Schutt, R.K. 2016. Making Sense of the Social World: Methods of Investigation. Los Angeles: Sage. Chapter 11: Unobtrusive Measures. Groves, R., F. Fowler, M. Couper, J Lepkowski, E. Singer and R Tourangeau. 2004. Survey Methodology. Wiley Maines, D.R. 1993. “Narrative’s Moment and Sociology’s Phenomena: Toward a Narrative Sociology.” The Sociological Quarterly 34(1): 17-38. Pampel, F.C. 2000. Logistic Regression: A Primer. Thousand Oaks: Sage Publication. Small, Mario. 2011. How to Conduct a Mixed Methods Study: Recent Trends in a Rapidly Growing Literature. Annual Review of Sociology 37:57-86. Tight, M. 2015. Case Studies. Sage Publications. Corbin, Juliet A., and Anselm Strauss. 2015. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Thousand Oaks, CA: Sage. Lieberson, Stanley. 1985. Making It Count: The Improvement of Social Research and Theory. Berkeley, CA: University of California Press. 1 Ragin, Charles C., and Howard S. Becker. 1992. What is a Case? Exploring the Foundations of Social Inquiry. New York: Cambridge University Press. Stinchcombe, Arthur L. 1968. Constructing Social Theories. New York: Harcourt, Brace & World. -
Studying Personal Communities in East York
STUDYING PERSONAL COMMUNITIES IN EAST YORK Barry Wellman Research Paper No. 128 Centre for Urban and Community Studies University of Toronto April, 1982 ISSN: 0316-0068 ISBN: 0-7727-1288-3 Reprinted July 1982 ABSTRACT Network analysis has contributed to the study of community through its focus on structured social relationships and its de-emphasis of local solidarities. Yet the initial surveys of community networks were limited in scope and findings. Our research group is now using network analysis as a comprehensive structural approach to studying the place of community networks within large-scale divisions of labour. This paper reports on the analytical concerns, research design and preliminary findings of our new East York study of "personal communities". - 11 - STUDYING PERSONAL COMMUNITIES IN EAST YORK 1 OLD AND NEW CAMPAIGNS Generals often want to refight their last war; academics often want to redo their last study. The reasons are the same. The passage of time has made them aware of mistakes in strategy, preparations and analysis. New concepts and tools have come along to make the job easier. Others looking at the same events now claim to know better. If only we could do the job again! With such thoughts in mind, I want to look at where network analyses of communities have come from and where they are likely to go. However, I propose to spend less time in refighting the past (in part, because the battles have been successful) than in proposing strategic objectives for the present and future. In this paper, I take stock of the current state of knowledge in three ways: First, I relate community network studies to fundamental concerns of both social network analysis and urban sociology. -
Application Research and Evaluation Methods of Instant Messaging Software
International Journal of Multimedia and Ubiquitous Engineering Vol.11, No.7 (2016), pp.279-290 http://dx.doi.org/10.14257/ijmue.2016.11.7.28 Application Research and Evaluation Methods of Instant Messaging Software Sun Beibei Zibo Vocational Institute, Zibo, China, 255314 [email protected] Abstract With the rapid development of computer and communication technology, instant messaging software has become more and more important communication platform, but because of the diversity of the instant communication software, there have not unified specification management, lack of evaluation research for the system. Aiming at finding instant messaging software how to affect the use factors of the user, this paper uses the hierarchy analytic process (hap) and Delphi method, established the application evaluation system of instant messaging software, the usage of instant messaging software and services function be researched. Keywords: Instant messaging software; Delphi method; Hierarchy Analytic process (hap); Evaluation system 1. Introduction Instant messaging (IM) refers to a business that can carry on the Internet information to send and receive instantly, communication instantly [1]. Since 1998, IM obtained the swift and violent development, its function also more and more perfect, such as have blogs, search, music, games, etc. IM started only simple chat, now it has developed into a comprehensive information platform, integrated with news and information, communication, electronic commerce, entertainment, search, office collaboration and enterprise customer service, etc. all kinds of information. E-mail as a communication tool, but it has its own disadvantages, such as ductility flawed, however IM just make up for the shortcomings, makes the terminal capable of communications at any time, contact at any time to view the status information. -
Free Chat Application for Mobile
Free Chat Application For Mobile Well-defined Dimitrios sometimes ruralized his coercionists expressively and coze so unmeasurably! Falconine and possessive Ambrose typecast her Cantab dig treacherously or forge seasonably, is Dave foveate? Marko withdrawing binocularly while silty Rad citrate lowest or clapboard conversely. As free chat application for mobile and only LiveChat Applications Live Chat App. Line application for free to choose the pro features are a welcome back. Olark is a seamless process. Very informative article tuition is. Chat app store that you can plug it offers basic visitor behavior or business with a popular than one place for hcl including text? Can I use it pinch my desktop? Look for free to use the application in addition of. Crisp free chat with the app will not just one for mobile application enables you are. Please publish an employee account may be rotten to mark statistics as favorites. You for free by providing fast. The developer will be required to enjoy privacy details when they submit or next app update. Free version covers most basic requirements Live chat support apps for mobile devices Gorgeous multi-language chat widgets Analytics and. Allows for free and chats with a free plan to extend or pwas are many online project supported for you can keep yourself how? Slack his work happens. Free 14-day trial your plan features No credit card required Desktop Apps. Chat App Maker Mobile app builder Shoutem. Best live Chat Software 2021 Reviews of agriculture Most Popular. Keep sharing more interesting posts. Hire a Zapier Expert to help someone improve processes and automate workflows. -
An Introduction to the Social Side of Social Network Analysis Barry
An Introduction to the Social Side of Social Network Analysis Barry Wellman Director, NetLab Centre for Urban & Community Studies University of Toronto Toronto, Canada M5S 1A1 [email protected] www.chass.utoronto.ca/~wellman NetLab Barry Wellman www.chass.utoronto.ca/~wellman Possible C.S. Fallacies Only online counts Groupware NE Networkware HCI: Only two-person interactions matter Can build small world systems All ties are the same; all relationships are the same Social network software support social networks Size matters – Linked In No need to analyze networks 3 Barry Wellman www.chass.utoronto.ca/~wellman In a Sentence ––– “To Discover How A, Who is in Touch with B and C, Is Affected by the Relation Between B & C” John Barnes (anthropologist) “The Sociology is Hard. The Computer Science is Easy.” Bill Buxton (UofT, PARC, MSR) 4 Barry Wellman www.chass.utoronto.ca/~wellman What is a Social Network? Social structure as the patterned organization of network members & their relationships Old Def: When a computer network connects people or organizations, it is a social network Now ported over to more ambiguous cases: web networks; citation networks, etc. 5 Three Ways to Look at Reality Categories All Possess One or More Properties as an Aggregate of Individuals Examples: Men, Developed Countries Groups (Almost) All Densely-Knit Within Tight Boundary Thought of as a Solidary Unit (Really a Special Network) Family, Workgroup, Community Networks Set of Connected Units: People, Organizations, Networks Can Belong -
Gendering the Digital Divide
IT&SOCIETY, VOLUME 1, ISSUE 5, SUMMER 2003, PP. 149-172 http://www.ITandSociety.org GENDERING THE DIGITAL DIVIDE TRACY KENNEDY BARRY WELLMAN KRISTINE KLEMENT ABSTRACT Gender pervades how people use the Internet. Three large North American national surveys are used to compare women’s use with men. They show that women use the Internet more for social reasons, while men use it more for instrumental and solo recreational reasons. Care-giving for children at hom e limits women more than men in the use they make of the Internet. ____________________________________ Tracy Kennedy is a doctoral student in the Department of Sociology, University of Toronto. She is conducting research on whether the intersection of household relations with Internet use significantly alters domestic interactions. Barry Wellman directs the NetLab at the University of Toronto’s Department of Sociology, Centre for Urban and Community Studies, and Knowledge Media Design Institute. He founded the International Network of Social Network Analysis in 1976. Kristine Klement was a research assistant at NetLab. She is currently in the graduate program in Social and Political Thought at York University, Toronto. Our thanks to Phuoc Tran for his assistance. © 2003 Stanford University 150 GENDERING THE DIGITAL DIVIDE Kennedy, Wellman, Klement Women have been online less than men. They have been online for fewer months, and when they do go online, they spend less time. This gender divide is old news by now, part of the social factors affecting Internet access and use. Research into this digital divide has identified gender, socioeconomic status, race, and age as key factors that contribute to differentials in access to the Internet. -
1. Barry Wellman Et Al., “The Social Affordances of the Internet for Networked Individ- Ualism,” JCMC 8, No
Name /yal05/27282_u13notes 01/27/06 10:28AM Plate # 0-Composite pg 475 # 1 Notes CHAPTER 1. Introduction: A Moment of Opportunity and Challenge 1. Barry Wellman et al., “The Social Affordances of the Internet for Networked Individ- ualism,” JCMC 8, no. 3 (April 2003). 2. Langdon Winner, ed., “Do Artifacts Have Politics?” in The Whale and The Reactor: A Search for Limits in an Age of High Technology (Chicago: University of Chicago Press, 1986), 19–39. 3. Harold Innis, The Bias of Communication (Toronto: University of Toronto Press, 1951). Innis too is often lumped with McLuhan and Walter Ong as a technological deter- minist. His work was, however, one of a political economist, and he emphasized the relationship between technology and economic and social organization, much more than the deterministic operation of technology on human cognition and capability. 4. Lawrence Lessig, Code and Other Laws of Cyberspace (New York: Basic Books, 1999). 5. Manuel Castells, The Rise of Networked Society (Cambridge, MA, and Oxford: Blackwell Publishers, 1996). PART I. The Networked Information Economy 1. Elizabeth Eisenstein, Printing Press as an Agent of Change (Cambridge: Cambridge Ϫ1 University Press, 1979). 0 ϩ1 475 Name /yal05/27282_u13notes 01/27/06 10:28AM Plate # 0-Composite pg 476 # 2 476 Notes to Pages 36–46 CHAPTER 2. Some Basic Economics of Information Production and Innovation 1. The full statement was: “[A]ny information obtained, say a new method of produc- tion, should, from the welfare point of view, be available free of charge (apart from the costs of transmitting information). This insures optimal utilization of the infor- mation but of course provides no incentive for investment in research. -
Castells' Network Concept and Its Connections to Social, Economic
Castells’ network concept and its connections to social, economic and political network analyses Ari-Veikko Anttiroiko School of Management, University of Tampere, Finland [email protected] Abstract This article discusses the conceptualization of network in Manuel Castells’ theory of network society and its relation to network analysis. Networks assumed a significant role in Castells’ opus magnum, The Information Age trilogy, in the latter half of the 1990s. He became possibly the most prominent figure globally in adopting network terminology in social theory, but at the same time he made hardly any empirical or methodological contribution to network analysis. This article sheds light on this issue by analyzing how the network logic embraced by Castells defines the social, economic, and political relations in his theory of network society, and how such aspects of his theory relate to social network analysis. It is shown that Castells’ institutional network concept is derived from the increased relevance of networks as the emerging form of social organization, epitomized by the idea of global networks of instrumental exchanges. He did not shed light on the internal dynamics of networks, but was nevertheless able to use network as a powerful metaphor that aptly portrayed his idea of the new social morphology of informational capitalism. Keywords Manuel Castells, network, network society, informationalism, The Information Age, social theory, political economy, social network analysis Introduction Manuel Castells created one of the most ambitious macro theories of our time, which endeavored to interpret the transformation of contemporary society as a reflection of the transition from industrial to informational mode of development. -
Chat Room Using Html, Php, Css, Js, Ajax
CHAT ROOM USING HTML, PHP, CSS, JS, AJAX Amey Thakur1, Karan Dhiman2 1Department of Computer Engineering, University of Mumbai, Mumbai, MH, India 2 Department of Computer Engineering, University of Mumbai, Mumbai, MH, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Earlier there was no mode of online application is straightforward. It doesn't require a login, communication between users. In big or small has AJAX-style functionality, and will support numerous organizations communication between users posed a users. It consists of two applications: the client app, which challenge. There was a requirement to record these runs on the user's device, and the server programme, communications and store the data for further which is hosted to operate the chat room live over the evaluation. The idea is to automate the existing Simple network. To begin talking, clients should connect to a Chat Room system and make the users utilize the server where they can practise two types of chatting, software so that their valuable information is stored public (message is broadcasted to all connected users) and digitally and can be retrieved for further management private (between any two users alone), and security purposes. There was no online method of precautions were implemented during the latter. communicating with different users. There were many different interfaces available in the market but this 2. PROPOSED SYSTEM method of using windows sockets to communicate between nodes would be fast and reliable. The main 2.1 Architecture of Chat Room objective of our Simple Chat Room project is to create a chat application that helps different users to Application for Chat Rooms A data flow diagram is communicate with each other through a server usually used as a first stage to develop an overview of the connected. -
Computer Networks As Social Networks Barry Wellman
C OMPUTERS AND S CIENCE ing of ESTs that substantially alleviated, even if they and kindred U.S. legislation, see, e.g., J. H. Reichman, P. 37. The role of scientific organizations in facilitating did not totally resolve, this threat to science from Samuelson, Vanderbilt Law Rev. 50, 51 (1997). changes in U.S. policy is recounted in (38). overbroad patent rights. 36. See, e.g., National Research Council, Bits of Power: 38. P. Samuelson, Va. J. Intl. Law 37, 369 (1997). 34. Directive 96/9/EC of the European Parliament and of Issues in Global Access to Scientific Data (National 39. These efforts are recounted by J. H. Reichman and the Council of 11 March 1996 on the Legal Protection Academy of Sciences Press, Washington, DC, 1997) P. F. Uhlir [Berkeley Technol. Law J. 14, 793 (1999)]. of Databases, 1996 O.J (L 77) 20. (expressingconcernaboutEuropeanUnionÐstyledata- 40. I gratefully acknowledge research support from NSF 35. For a critical commentary on the EU database directive base protection). grant SEC-9979852. VIEWPOINT Computer Networks As Social Networks Barry Wellman Computer networks are inherently social networks, linking people, orga- first, computer scientists would be saying nizations, and knowledge. They are social institutions that should not be “netware” instead of “groupware” for sys- studied in isolation but as integrated into everyday lives. The proliferation tems that enable people to interact with each of computer networks has facilitated a deemphasis on group solidarities at other online. Often computer networks and work and in the community and afforded a turn to networked societies social networks work conjointly, with com- that are loosely bounded and sparsely knit. -
The Network Is Personal: Introduction to a Special Issue of Social Networksଝ
Social Networks 29 (2007) 349–356 Editorial The network is personal: Introduction to a special issue of Social Networksଝ 1. A personal view of the network world We practice personal network analysis every day. Each of us is the center of our own universe. We know who our friends are, how they are connected to each other, and what kinds of sociability, help, and information they might provide—from the 1–5 very strong ties that we feel closest with to the 200–2000 acquaintances whom we barely know (Boissevain, 1974; Wellman, 1979; Bernard et al., 1984; McCarty et al., 2001; McPherson et al., 2006). We reckon what network capital is available from people who can help us (Sik and Wellman, 1999; Kadushin, 2004). We even have some knowledge about the friends of our friends – that Kathy knows Wayne Gretzky. Although we do not have full maps, social networking software is making it easier to link us to friends of friends. Personal network analysts usually want to know which types of people are in such network (are they composed mostly of kin or friends?), what kinds of relationships they contain (strong or weak ties; frequent or infrequent contact?), and what kinds of resources flow through different kinds of networks (do kin provide more emotional support than friends?).1 These research interests affect how analysts define populations, approach gathering data, and obtain information. Where whole network analysts typically concentrate on uncovering the structure and composition of one big network, personal network analysts usually study a sample of many smaller personal networks: the worlds according to Muhammad, Dick, and Harriet. -
Email, Communication and More: How Software Engineers Use and Reflect Upon Email at the Workplace
Email, communication and more: How software engineers use and reflect upon email at the workplace MARION BLATT ANTHONY NORMAN Master of Communication Thesis Report No. 2013:117 ISSN: 1651-4769 University of Gothenburg Department of Applied Information Technology Gothenburg, Sweden, May 2009 Abstract This thesis presents an empirical study into the use of email within a software engineering en- vironment. It aims at filling a gap in the research area of professional email use, looking at specialists within a technology driven industry that is central to the phenomenon of email and electronic communication. An interpretative qualitative methodology allows an investigation into how software engineers use and relate to email in their everyday work. Sixteen software engineers currently engaged in industrial practice constitute the sample for this thesis and pro- vide their subjective views on the topic. Beyond the communicative function, email helps software engineers with personal infor- mation management, such as filtering, archiving and retrieving important information. Moreo- ver, social behaviour when using email, including response expectation and email etiquette, appears to be of significance. Asynchrony, the compression of time and space, and email as a distraction at work, amongst others, were vital considerations for software engineers’ percep- tion when using email at work. The findings indicate that the email behaviour of software en- gineers mostly resembles behaviour found in other professions, with some subtle differences. The study provides a starting point into the use of email within a specific profession and con- cludes with several further research suggestions such as different methodological approaches into the same profession as well as comparative studies into other professions.