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Journal articles on the topic 'Social networks and plattforms'

Author: Grafiati

Published: 7 September 2021

Last updated: 13 February 2022

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1

Eble, Michael J. "Implikationen aus dem gegenwärtigen Mediennutzungsverhalten Lernender." MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung 18, Indiv. Leistungsdarstellung (2009): 1–17. http://dx.doi.org/10.21240/mpaed/18/2009.12.16.x.

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Bei der Betrachtung des Mediennutzungsverhaltens Jugendlicher und junger Erwachsener in Deutschland zeigt sich eine zunehmend stärkere Integration von Online-Angeboten in den Alltag. Ein zentrales Element dieses Nutzungsverhaltens ist die Online-Kommunikation mittels Social Networks. Verschiedene und voneinander unabhängige Studien zeichnen das Bild einer häufigen und intensiven Nutzung dieser Angebote. Dabei stellen sich die Mitglieder dieser Online-Gemeinschaften innerhalb der Plattformen über individuelle Profile dar. Im Fokus steht für die Nutzer hier die authentische Selbstdarstellung. Somit können Profile als zumindest teilweise Darstellung der eigenen Identität angesehen werden. Die Definition derselben ist gleichzeitig Grundlage des identitätsbasierten Ansatzes der Markenbildung. Dazu zählt die Festlegung der eigenen Herkunft, Kompetenzen, Werte, Persönlichkeit, Leistungen und Ziele. Hier wird – wie auch in Social Networks üblich – ein regelmässiger Abgleich von Selbst- und Fremdbild durchgeführt. Die Kombination von ePortfolios (im Stil der Profilierung auf Social Networks) mit dem identitätsbasierten Ansatz der Markenbildung kann in formellen Lehr- und Lernkontexten nutzbar gemacht werden. Auf Basis habitualisierter Selbstdarstellung und Reflexion kann die eigene Lern- und Leistungsentwicklung abgebildet und kontinuierlich beobachtet werden. Somit können ePortfolios Lernenden ein Werkzeug sein, um selbstgesteuert die eigene Ziel- und Ist-Positionierung zu bestimmen und zu analysieren. Sie können damit als Instrument die persönliche Markenbildung in diesem Segment unterstützen.

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2

Dörnemann, Jörg, Christoph Grau, Marcus Englert, Christiane zu Salm, and Rainer Tief. "Web 2.0 und etablierte Medienunternehmen." MedienWirtschaft 5, no. 4 (2008): 46–52. http://dx.doi.org/10.15358/1613-0669-2008-4-46.

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Der Begriff des „Web 2.0“ hat sich in den letzten drei Jahren zu dem Schlagwort entwickelt. Geprägt und popularisiert hat ihn der Verleger Tim O’Reilly, der damit einen griffigen Namen für die veränderte Nutzung des Internet, vor allem des WWW, gefunden hatte. Für ihn stellt das Internet im Sinne des Web 2.0 eine Plattform dar, auf welcher interaktive und gemeinschaftlich genutzte Elemente zum Einsatz kommen. Zahlreiche Webblogs, Social Networks, Wikis, Videoplattformen und ähnliche Angebote sind Sinnbild für diese Entwicklung. Insbesondere unter dem Stichwort User Generated Content hat das Thema Einzug in die Medienbranche gefunden (siehe dazu Stöckl/Grau/Hess aus der „MedienWirtschaft“ 4/2006, S. 46-50). User Generated Content bezeichnet danach die Bereitstellung massenmedialer Inhalte durch Konsumenten ohne direkte Gewinnerzielungsabsicht. Die großen deutschen Medienunternehmen haben in den letzten Jahren ihre Online-Portfolios durch Aktivitäten im Bereich Web 2.0 ergänzt. Es ist daher an der Zeit, ein erstes Zwischenfazit zu ziehen: Was ist aus Web 2.0 geworden? Welche Ideen konnten verwirklicht werden und was hat sich bereits jetzt als unmöglich erwiesen? Wir haben fünf Medienexperten gebeten, ihre Einschätzung abzugeben.

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3

Dunbar, Robin. "Social networks: Human social networks." New Scientist 214, no. 2859 (2012): iv—v. http://dx.doi.org/10.1016/s0262-4079(12)60856-2.

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4

Yevin, Igor Alexeevich, and Timur F. Khabibullin. "Social networks." Computer Research and Modeling 4, no. 2 (2012): 423–30. http://dx.doi.org/10.20537/2076-7633-2012-4-2-423-430.

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5

Banham, Gary. "Social networks." Philosophers' Magazine, no. 50 (2010): 22–23. http://dx.doi.org/10.5840/tpm20105038.

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6

Gradoselskaya, Galina. "Social Networks." Journal of Economic Sociology 2, no. 1 (2001): 142–50. http://dx.doi.org/10.17323/1726-3247-2001-1-142-150.

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7

Beard, Margaret L. "Social networks." Psychosocial Rehabilitation Journal 16, no. 2 (1992): 111–16. http://dx.doi.org/10.1037/h0095695.

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8

Tippin, Stephanie, and Lorene Arnold. "Social Networks." Nurse Educator 37, no. 4 (2012): 148–49. http://dx.doi.org/10.1097/nne.0b013e31825a8770.

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9

Fox, Dirk. "Social networks." Datenschutz und Datensicherheit - DuD 33, no. 1 (2009): 53. http://dx.doi.org/10.1007/s11623-009-0011-9.

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10

Downes, Stephen. "Semantic networks and social networks." Learning Organization 12, no. 5 (2005): 411–17. http://dx.doi.org/10.1108/09696470510700394.

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11

Mohan, Seshadri, Nitin Agarwal, and Ashutosh Dutta. "Social networks meet mobile networks." IEEE Communications Magazine 50, no. 6 (2012): 72–73. http://dx.doi.org/10.1109/mcom.2012.6211488.

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12

Wellman, B. "Computer Networks As Social Networks." Science 293, no. 5537 (2001): 2031–34. http://dx.doi.org/10.1126/science.1065547.

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13

Pilisuk, Marc. "Social Networks and Social Exclusion." Contemporary Sociology: A Journal of Reviews 34, no. 1 (2005): 34–36. http://dx.doi.org/10.1177/009430610503400121.

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14

diani, mario. "social networks and social movements." European Political Science 15, no. 2 (2015): 266–67. http://dx.doi.org/10.1057/eps.2015.48.

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15

Brugha, T. S. "Social support and social networks." Current Opinion in Psychiatry 2, no. 2 (1989): 278–82. http://dx.doi.org/10.1097/00001504-198904000-00017.

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16

Hardesty, Jared Ross. "Social Networks and Social Worlds." Journal of Global Slavery 3, no. 3 (2018): 234–60. http://dx.doi.org/10.1163/2405836x-00303003.

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Abstract This essay argues that the “slave community” paradigm obfuscates alternative lived experiences for enslaved men and women, especially those living in the urban areas of the early modern Atlantic world, and uses eighteenth-century Boston as a case study. A bustling Atlantic port city where slaves comprised between ten and fifteen percent of the population, Boston provides an important counterpoint. Slaves were a minority of residents, lived in households with few other people of African descent, worked with laborers from across the socio-economic spectrum, and had near constant interaction with their masters. Moreover, slavery in Boston reached its zenith before the American Revolution, meaning older, pre-revolutionary and early modern notions of social order—hierarchy, deference, and dependence—structured their society and everyday lives. These factors imbricated enslaved Bostonians in the broader society. Boston’s slaves inhabited multiple “social worlds” where they fostered a rich tapestry of relations and forms of resistance.

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17

Fershtman, Chaim, and Dotan Persitz. "Social Clubs and Social Networks." American Economic Journal: Microeconomics 13, no. 1 (2021): 224–51. http://dx.doi.org/10.1257/mic.20180143.

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We present a strategic network formation model based on membership in clubs. Individuals choose affiliations. The set of all memberships induces a weighted network where two individuals are directly connected if they share a club. Two individuals may also be indirectly connected using multiple memberships of third parties. Individuals gain from their position in the induced network and pay membership fees. We study the club congestion model where the weight of a link decreases with the size of the smallest shared club. A trade-off emerges between the size of clubs, the depreciation of indirect connections, and the membership fee. (JEL D71, D85, Z13)

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18

Melton, James, Robert Miller, and Michelle Salmona. "Online Social Networks." International Journal of Information Systems and Social Change 3, no. 2 (2012): 24–38. http://dx.doi.org/10.4018/ijissc.2012040102.

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Previous research has shown that many college students in the United States post content to social networking sites that they know would be considered inappropriate by employers and other authority figures. However, the phenomenon has not been extensively studied in cross-cultural context. To address this knowledge gap, a survey of college students in Australia, Denmark, the United Kingdom, and the United States was conducted. The study found a universal tendency among the four groups: students knew the content they were posting would be considered inappropriate by employers and other authority figures, but they chose to post it anyway. The article also reports on differences in the way this tendency was manifested and on related aspects of social networking across cultures, including decisions about privacy and information disclosure.

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19

Holgado Ramos, Daniel. "Analyzing Social Networks." Redes. Revista hispana para el análisis de redes sociales 27, no. 2 (2016): 141. http://dx.doi.org/10.5565/rev/redes.637.

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20

Ziegler, Rolf, and Lambert Maguire. "Understanding Social Networks." Canadian Journal of Sociology / Cahiers canadiens de sociologie 11, no. 4 (1986): 491. http://dx.doi.org/10.2307/3341074.

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21

Markussen, S., and K. Roed. "Social Insurance Networks." Journal of Human Resources 50, no. 4 (2015): 1081–113. http://dx.doi.org/10.3368/jhr.50.4.1081.

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22

Giuffre, Katherine, and Pamela Paxton. "Building Social Networks." Teaching Sociology 25, no. 3 (1997): 207. http://dx.doi.org/10.2307/1319396.

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23

Chen, Yulin. "Collaborative Social Networks." Journal of Media Management and Entrepreneurship 1, no. 1 (2019): 57–72. http://dx.doi.org/10.4018/jmme.2019010104.

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This article investigates the relationships between the motivation, cognition, and behavior of knowledge management. It analyzes university students preparing to share content on the Tamshui Humanities Knowledge Collaboration System (hereafter referred to as the Tamshui Wiki) to determine whether different participation motivation dimensions (community motivation and personal motivation) affected their knowledge management cognition and behavior. The stimulus–organism–response theory is adopted to assess the relationships between several intrinsic cognition (knowledge management and community reputation) and behavior (attention, interest, action, and share) dimensions. A total of 364 valid samples are collected. Correlation analysis and regression analysis are adopted for statistical calculation. Findings reveal that the participation willingness and community motivation of the students had a greater effect on their knowledge management cognition than personal motivation. Frequent users of Wikipedia were approving of knowledge collaboration and able to link cognition with behavior.

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24

Fernandez, Mitch, Juan D. Riveros, Michael Campos, Kalai Mathee, and Giri Narasimhan. "Microbial "social networks"." BMC Genomics 16, Suppl 11 (2015): S6. http://dx.doi.org/10.1186/1471-2164-16-s11-s6.

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25

Leguina, Adrian. "Analysing social networks." International Journal of Research & Method in Education 39, no. 4 (2016): 446–47. http://dx.doi.org/10.1080/1743727x.2016.1205836.

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26

Land, Helen. "Social Support Networks." Social Work 31, no. 1 (1986): 72. http://dx.doi.org/10.1093/sw/31.1.72.

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27

Turalska, M., and B. J. West. "Critical social networks." Physica A: Statistical Mechanics and its Applications 395 (February 2014): 466–75. http://dx.doi.org/10.1016/j.physa.2013.10.033.

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28

Sangwan, Sunanda, Chong Guan, and Judy A. Siguaw. "Virtual Social Networks." International Journal of Virtual Communities and Social Networking 1, no. 1 (2009): 1–13. http://dx.doi.org/10.4018/jvcsn.2009010101.

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29

Cardon, Peter W. "Online Social Networks." Business Communication Quarterly 72, no. 1 (2008): 96–97. http://dx.doi.org/10.1177/1080569908330376.

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30

Greiner, Lynn. "Hacking social networks." netWorker 13, no. 1 (2009): 9–11. http://dx.doi.org/10.1145/1516035.1516038.

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31

Siegel, David E., Elizabeth M. Tracy, and Kenneth N. Corvo. "Strengthening Social Networks." Health & Social Work 19, no. 3 (1994): 206–16. http://dx.doi.org/10.1093/hsw/19.3.206.

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32

Fewell, J. H. "Social Insect Networks." Science 301, no. 5641 (2003): 1867–70. http://dx.doi.org/10.1126/science.1088945.

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33

Hsung, Ray-may, Chin-chun Yi, and Yang-chih Fu. "Overlapping Social Networks." Current Sociology 54, no. 2 (2006): 187–208. http://dx.doi.org/10.1177/0011392106056741.

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34

Faloutsos, Michalis, Thomas Karagiannis, and Sue Moon. "Online social networks." IEEE Network 24, no. 5 (2010): 4–5. http://dx.doi.org/10.1109/mnet.2010.5578911.

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35

Ennett, Susan T., and Karl E. Bauman. "Adolescent Social Networks." Journal of Adolescent Research 11, no. 2 (1996): 194–215. http://dx.doi.org/10.1177/0743554896112003.

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36

Cabello, Adán, Lars Eirik Danielsen, Antonio J. López-Tarrida, and José R. Portillo. "Quantum social networks." Journal of Physics A: Mathematical and Theoretical 45, no. 28 (2012): 285101. http://dx.doi.org/10.1088/1751-8113/45/28/285101.

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37

Staab, S., P. Domingos, P. Mika, et al. "Social Networks Applied." IEEE Intelligent Systems 20, no. 1 (2005): 80–93. http://dx.doi.org/10.1109/mis.2005.16.

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38

Jain, Ramesh, and David Sonnen. "Social Life Networks." IT Professional 13, no. 5 (2011): 8–11. http://dx.doi.org/10.1109/mitp.2011.86.

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39

Manjunatha, K. "Bibliography — Social Networks." Vikalpa: The Journal for Decision Makers 35, no. 3 (2010): 155–62. http://dx.doi.org/10.1177/0256090920100311.

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40

Tranmer, Mark. "Animal social networks." Animal Behaviour 106 (August 2015): 121. http://dx.doi.org/10.1016/j.anbehav.2015.05.015.

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41

Fu, Xiaoming, Andrea Passarella, Daniele Quercia, Alessandra Sala, and Thorsten Strufe. "Online Social Networks." Computer Communications 73 (January 2016): 163–66. http://dx.doi.org/10.1016/j.comcom.2015.11.005.

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42

Johnson, Cathleen, and Robert P. Gilles. "Spatial social networks." Review of Economic Design 5, no. 3 (2000): 273–99. http://dx.doi.org/10.1007/pl00013690.

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43

Malovic, Stjepan. "Social networks threats." Kultura, no. 139 (2013): 28–40. http://dx.doi.org/10.5937/kultura1339028m.

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44

Kwang-Cheng Chen, Mung Chiang, and H. V. Poor. "From Technological Networks to Social Networks." IEEE Journal on Selected Areas in Communications 31, no. 9 (2013): 548–72. http://dx.doi.org/10.1109/jsac.2013.sup.0513049.

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45

Sokolovska, Valentina. "Social networks, social capital and social status." Socioloski pregled 45, no. 2 (2011): 221–34. http://dx.doi.org/10.5937/socpreg1102221s.

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46

Schafft, Kai, and David Brown. "Social capital, social networks, and social power." Social Epistemology 17, no. 4 (2003): 329–42. http://dx.doi.org/10.1080/0269172032000151795.

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47

Coiera, E. "Social networks, social media, and social diseases." BMJ 346, may22 16 (2013): f3007. http://dx.doi.org/10.1136/bmj.f3007.

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48

Petrovic, Dalibor. "Social activism on social networks sites." Socioloski pregled 50, no. 3 (2016): 397–430. http://dx.doi.org/10.5937/socpreg1603397p.

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49

Debreceny, Roger S. "Social Media, Social Networks, and Accounting." Journal of Information Systems 29, no. 2 (2015): 1–4. http://dx.doi.org/10.2308/isys-10462.

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50

Watkins, Susan Cotts. "Social Networks and Social Science History." Social Science History 19, no. 3 (1995): 295. http://dx.doi.org/10.2307/1171488.

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