Search (6349 results, page 1 of 318)

  1. Milard, B.; Pitarch, Y.: Egocentric cocitation networks and scientific papers destinies (2023) 0.19
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    Abstract
    To what extent is the destiny of a scientific paper shaped by the cocitation network in which it is involved? What are the social contexts that can explain these structuring? Using bibliometric data, interviews with researchers, and social network analysis, this article proposes a typology based on egocentric cocitation networks that displays a quadruple structuring (before and after publication): polarization, clusterization, atomization, and attrition. It shows that the academic capital of the authors and the intellectual resources of their research are key factors of these destinies, as are the social relations between the authors concerned. The circumstances of the publishing are also correlated with the structuring of the egocentric cocitation networks, showing how socially embedded they are. Finally, the article discusses the contribution of these original networks to the analyze of scientific production and its dynamics.
    Date
    21. 3.2023 19:22:14
  2. Kumar, S.: Co-authorship networks : a review of the literature (2015) 0.18
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    Abstract
    Purpose - The purpose of this paper is to attempt to provide a review of the growing literature on co-authorship networks and the research gaps that may be investigated for future studies in this field. Design/methodology/approach - The existing literature on co-authorship networks was identified, evaluated and interpreted. Narrative review style was followed. Findings - Co-authorship, a proxy of research collaboration, is a key mechanism that links different sets of talent to produce a research output. Co-authorship could also be seen from the perspective of social networks. An in-depth analysis of such knowledge networks provides an opportunity to investigate its structure. Patterns of these relationships could reveal, for example, the mechanism that shapes our scientific community. The study provides a review of the expanding literature on co-authorship networks. Originality/value - This is one of the first comprehensive reviews of network-based studies on co-authorship. The field is fast evolving, opening new gaps for potential research. The study identifies some of these gaps.
    Date
    20. 1.2015 18:30:22
  3. Hu, D.; Kaza, S.; Chen, H.: Identifying significant facilitators of dark network evolution (2009) 0.18
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    Abstract
    Social networks evolve over time with the addition and removal of nodes and links to survive and thrive in their environments. Previous studies have shown that the link-formation process in such networks is influenced by a set of facilitators. However, there have been few empirical evaluations to determine the important facilitators. In a research partnership with law enforcement agencies, we used dynamic social-network analysis methods to examine several plausible facilitators of co-offending relationships in a large-scale narcotics network consisting of individuals and vehicles. Multivariate Cox regression and a two-proportion z-test on cyclic and focal closures of the network showed that mutual acquaintance and vehicle affiliations were significant facilitators for the network under study. We also found that homophily with respect to age, race, and gender were not good predictors of future link formation in these networks. Moreover, we examined the social causes and policy implications for the significance and insignificance of various facilitators including common jails on future co-offending. These findings provide important insights into the link-formation processes and the resilience of social networks. In addition, they can be used to aid in the prediction of future links. The methods described can also help in understanding the driving forces behind the formation and evolution of social networks facilitated by mobile and Web technologies.
    Date
    22. 3.2009 18:50:30
  4. Heldman, R.K.: ¬The telecommunications information millenium : a vision and plan for the global information society (1995) 0.18
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    LCSH
    Telecommunication / Social aspects
    Information networks / Social aspects
    Subject
    Telecommunication / Social aspects
    Information networks / Social aspects
  5. Sonnenwald, D.H.: Evolving perspectives of human information behaviour : contexts, situations, social networks and information horizons (1999) 0.17
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    Abstract
    This paper presents an evolving framework for human information behaviour, including information exploration, seeking, filtering, use and dissemination. It is based on empirical studies of human information behaviour in a variety of settings (Iivonen & Sonnenwald, 1998; Sonnenwald, 1993, 1995, 1996) and theories from a variety of research traditions, including information science, communication, sociology and psychology that inform our understanding of human information behaviour. I begin formulating the framework by discussing fundamental concepts, such as context, situation and social networks. Building on these concepts, I propose a series of propositions that strive to elucidate the framework. Key ideas in the framework include the introduction of the role of social networks in information exploration, and the concept of an `information horizon' in which we can act to explore information.
    Date
    22. 3.2002 9:46:09
  6. Ding, Y.; Yan, E.: Scholarly network similarities : how bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other (2012) 0.16
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    Abstract
    This study explores the similarity among six types of scholarly networks aggregated at the institution level, including bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks. Cosine distance is chosen to measure the similarities among the six networks. The authors found that topical networks and coauthorship networks have the lowest similarity; cocitation networks and citation networks have high similarity; bibliographic coupling networks and cocitation networks have high similarity; and coword networks and topical networks have high similarity. In addition, through multidimensional scaling, two dimensions can be identified among the six networks: Dimension 1 can be interpreted as citation-based versus noncitation-based, and Dimension 2 can be interpreted as social versus cognitive. The authors recommend the use of hybrid or heterogeneous networks to study research interaction and scholarly communications.
  7. Leydesdorff, L.: Can networks of journal-journal citations be used as indicators of change in the social sciences? (2003) 0.16
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    Abstract
    Aggregated journal-journal citations can be used for mapping the intellectual organization of the sciences in terms of specialties because the latter can be considered as interreading communities. Can the journal-journal citations also be used as early indicators of change by comparing the files for two subsequent years? Probabilistic entropy measures enable us to analyze changes in large datasets at different levels of aggregation and in considerable detail. Compares Journal Citation Reports of the Social Science Citation Index for 1999 with similar data for 1998 and analyzes the differences using these measures. Compares the various indicators with similar developments in the Science Citation Index. Specialty formation seems a more important mechanism in the development of the social sciences than in the natural and life sciences, but the developments in the social sciences are volatile. The use of aggregate statistics based on the Science Citation Index is ill-advised in the case of the social sciences because of structural differences in the underlying dynamics.
    Date
    6.11.2005 19:02:22
  8. Haimson, O.L.; Carter, A.J.; Corvite, S.; Wheeler, B.; Wang, L.; Liu, T.; Lige, A.: ¬The major life events taxonomy : social readjustment, social media information sharing, and online network separation during times of life transition (2021) 0.15
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    Abstract
    When people experience major life changes, this often impacts their self-presentation, networks, and online behavior in substantial ways. To effectively study major life transitions and events, we surveyed a large U.S. sample (n = 554) to create the Major Life Events Taxonomy, a list of 121 life events in 12 categories. We then applied this taxonomy to a second large U.S. survey sample (n = 775) to understand on average how much social readjustment each event required, how likely each event was to be shared on social media with different types of audiences, and how much online network separation each involved. We found that social readjustment is positively correlated with sharing on social media, with both broad audiences and close ties as well as in online spaces separate from one's network of known ties. Some life transitions involve high levels of sharing with both separate audiences and broad audiences on social media, providing evidence for what previous research has called social media as social transition machinery. Researchers can use the Major Life Events Taxonomy to examine how people's life transition experiences relate to their behaviors, technology use, and health and well-being outcomes.
    Date
    10. 6.2021 19:22:47
  9. Woelfel, J.: Cognitive processes and communication networks : a general theory (1993) 0.14
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    Abstract
    Part of an issue devoted to communication networks and network analysis. Demonstrates the applicability of the network concept for the description of both cognitive and social processes. Networks are a set of interrelated nodes, classified according to the characteristics of the nodes and the relationships among them. Historically they have been categorized as social networks, when the nodes were specified as individuals or higher level systems; cognitve or neural networks, when the nodes were considers words; symbols of any other representation; and communication networks, when the realtionships among the nodes involved the transfer of information rather than affect, power or social prestige. Attempts to intergarte these perspectives
  10. Haythornthwaite, C.: Social networks and information transfer (2009) 0.14
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    Abstract
    Information exchange, transfer and flow can often depend on the motivations of individuals who share that information. This in turn depends on the relationships they maintain with others, and the networks of information sharing resulting from their interconnections. This entry describes the attributes of social networks that facilitate or inhibit the exchange of information, how to discover these networks, and how different configurations of networks can constrain or facilitate information transfer.
  11. Martin, W.J.: ¬The information society (1995) 0.14
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    Date
    15. 7.2002 14:22:55
    LCSH
    Technology / Social aspects
    Information storage and retrieval systems / Social aspects
    Subject
    Technology / Social aspects
    Information storage and retrieval systems / Social aspects
  12. Farkas, M.G.: Social software in libraries : building collaboration, communication, and community online (2007) 0.14
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    Content
    Inhalt: What is social software? -- Blogs -- Blogs in libraries : practical applications -- RSS -- Wikis -- Online communities -- Social networking -- Social bookmarking and collaborative filtering -- Tools for synchronous online reference -- The mobile revolution -- Podcasting -- Screencasting and vodcasting -- Gaming -- What will work @ your library -- Keeping up : a primer -- Future trends in social software.
    LCSH
    Online social networks
    Subject
    Online social networks
    Theme
    Social tagging
  13. Jordan, K.: Separating and merging professional and personal selves online : the structure and process that shape academics' ego-networks on academic social networking sites and Twitter (2019) 0.13
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    Abstract
    Academic social networking sites seek to bring the benefits of online networking to an academic audience. The ability to make connections to others is a defining characteristic of the sites, but what types of networks are formed, and what are the implications of the structures? This study addressed that question through mixed methods social network analysis, focusing on Academia.edu, ResearchGate, and Twitter, as three of the main sites used by academics in their professional lives. The structure of academics' ego-networks on social networking sites differs by platform. Networks on academic sites were smaller and more highly clustered, whereas Twitter networks were larger and more diffuse. Institutions and research interests define communities on academic sites, compared with research topics and personal interests on Twitter. The network structures reflect differences in how academics conceptualize different sites and have implications in relation to fostering social capital and research impact.
  14. Johnson, C.A.: Social capital and the search for information : examining the role of social capital in information seeking behavior in Mongolia (2007) 0.13
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    Abstract
    The process of finding information to address problems that arise in everyday life situations is complex. Individuals are influenced by many factors when the information need occurs, including their social, psychological, political, economic, physical, and work environments. Research focusing on the social factors affecting information has stressed the importance of interpersonal communication and the quality of social networks in facilitating access to information. The study reported in this article investigates the role of social networks in affecting access to information and, more particularly, how social capital or the resources made available to individuals through their social networks influence their success in finding the information they need. Questionnaires were administered in a face-to-face format to a random sample of 320 residents of the city of Ulaan-baatar, Mongolia. The theoretical framework for the study is Lin's theory of social capital whose main proposition is that the ability of people to achieve desired outcomes is positively associated with social capital. The findings indicate that social capital did have a significant effect on information behavior, particularly on the choice of source, which in turn had a direct influence on successful search outcomes.
  15. Newson, A.; Houghton, D.; Patten, J.: Blogging and other social media : exploiting the technology and protecting the enterprise (2008) 0.13
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    Abstract
    Blogging and other types of social media such as wikis and social networking sites have transformed the way we use the internet in recent years. It is a transformation that business is eager to exploit. In order to do so, a clear commercial strategy needs to be established; does your organization wish to use the media actively as a business tool, or do you need to respond to the use of social media by others? "Blogging and Other Social Media" will address this question with practical guidance on using social media as well as the risks associated with it. A collaboration by leading thinkers and business users of social media, the book contains detailed and practical advice on the various forms of social media - their applications, advantages and disadvantages, how these technologies are evolving, and whether or not their use will benefit your business. The section covering social media and the law explains the risks and remedies related to abuse of copyright, defamation, privacy, data protection and user contracts as well as the opportunities and threats for online reputation.If you are looking to encourage your employees but want to protect your business from the threats this emerging media presents, get a copy of this practical guide and study it before you start including social media as part of your corporate marketing or communications strategy.
    Content
    Introduction to blogs - Creating a blog - Writing a blog - Enhancing the experience - Is blogging worthwhile for a business? - Introduction to social media - Professional networks for businesses - Industry specific professional networks - Wikis - Online office applications - Podcasting - Social bookmarking and online content democracy - Forerunners to social media - Social media aggregators - Social tools inside the enterprise - Elements of enterprise - Examples and conclusion - The law of social media - Online reputation
    Footnote
    Rez. in: IWP 60(2009) H.3, S.177 (M. Buzinkay): "Social Software, Social Media oder Web 2.0 - Begriffe, die seit mehreren Jahren die Web-Welt beschäftigten und dominieren, stehen im Mittelpunkt dieses 2008 erschienen Bandes von Alex Newson, Derryck Houghton und Justin Patten. Der Schwerpunkt dieses Werkes steht im Untertitel verborgen: "Exploiting the Technology and Protecting the Enterprise". . . . Zusammengefasst lässt sich sagen, dass das Buch sicherlich für totale Anfänger in Sachen Social Media durchaus eine erste Zusammenschau der Materie ermöglichen kann, wenn auch mit großen Lücken. Für Organisationen, die sich also dieser Werkzeuge bedienen wollen, und zu diesem Zweck ein Praxis-nahes Buch zwecks Implementierung suchen, kann ich es aber nicht empfehlen. Es bietet einfach zu wenig, und auch das Rechtskapitel ist nur für unter britischem Recht operierenden Firmen interessant."
    LCSH
    Social media
    Subject
    Social media
  16. Fallis, D.: Social epistemology and information science (2006) 0.13
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    Date
    13. 7.2008 19:22:28
  17. Foskett, D.J.: Classification and indexing in the social sciences (1970) 0.13
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    Source
    Aslib proceedings. 22(1970), S.90-101
  18. Qualman, E.: Socialnomics : how social media transforms the way we live and do business (2009) 0.13
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    Abstract
    A fascinating, research-based look at the impact of social media on businesses and consumers around the world, and what's in store for the future Social Media. You've heard the term, even if you don't use the tools. But just how big has social media become? Social media has officially surpassed pornography as the top activity on the Internet. People would rather give up their e-mail than their social network. It is so powerful that it is causing a macro shift in the way we live and conduct business. Brands can now be strengthened or destroyed by the use of social media. Online networking sites are being used as giant, free focus groups. Advertising is less effective at influencing consumers than the opinions of their peers. If you aren't using social media in your business strategy, you are already behind your competition. * Explores how the concept of "Socialnomics" is changing the way businesses produce, market, and sell, eliminating inefficient marketing and middlemen, and making products easier and cheaper for consumers to obtain * Learn how successful businesses are connecting with consumers like never before via Twitter, Facebook, YouTube, and other social media sites * A must-read for anyone wanting to learn about, and harness the power of social media, rather than be squashed by it * Author Erik Qualman is a former online marketer for several Top 100 brands and the current Global Vice President of Online Marketing for the world's largest private education firm Socialnomics is essential book for anyone who wants to understand the implications of social media, and how businesses can tap the power of social media to increase their sales, cut their marketing costs, and reach consumers directly.
    Content
    Introduction: It's a people-driven economy, stupid -- Word of mouth goes world of mouth -- Social media = preventative behavior -- Social media = braggadocian behavior -- Obama's success driven by social media -- I care more about what my neighbor thinks than what Google thinks -- Death of social schizophrenia -- Winners and losers in a 140-character world -- Next step for companies and the "glass house generation" -- Socialnomics summary.
    LCSH
    Social media
    Social networks
    Subject
    Social media
    Social networks
  19. Cronin, J.: Social influences on quantum mechanics? : I (2001) 0.13
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    Footnote
    Erwiderung auf: Graham, L.R.: Do mathematical equations display social attributes? in: Mathematical intelligencer 22(2000) no.3, S.31-36
  20. Lipschütz-Yevick, M.: Social influences on quantum mechanics? : II (2001) 0.13
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    Footnote
    Erwiderung auf: Graham, L.R.: Do mathematical equations display social attributes? in: Mathematical intelligencer 22(2000) no.3, S.31-36

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