Social Networks and Corporate Information Security by Ekaterina Gennadievna Kondratova

Subjects: “…social networks…”
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National security: The role of social networks by Lutovac Nikoleta, Lutovac Svetislav

Subjects: “…social networks…”
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Social network analysis by Turiyam graphs by Gamachu Adugna Ganati, V. N. Srinivasa Rao Repalle, Mamo Abebe Ashebo

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Contracting account audit on social networks by Jakovljević Nemanja, Jakovljević Stefan

Subjects: “…social network…”
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Modeling of Information Processes in Social Networks by Sergey Yablochnikov, Mikhail Kuptsov, Maksim Mahiboroda

Subjects: “…social network…”
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Prospects for the use of social networks in education by V. M. Kachan, V. H. Hrytsenko

Subjects: “…social networks…”
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The digital communication strategy on social networks by Sofia HADIBI, Samir BERKANI, Hamid FECHIT

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Special Issue on Social Network Analysis by Stefano Faralli, Paola Velardi

“…Social network analysis (SNA) is a research area of computer science with the purpose to represent people and their social interactions as graphs, and then, analyze these graphs using network and graph theory [...]…”
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THE PRESENTATION OF SELF IN THE ONLINE SOCIAL NETWORK by A. A. Shirmazanyan

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Invited review: Epidemics on social networks by Marcelo N. Kuperman

Subjects: “…Social Networks…”
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Fundamental structures of dynamic social networks by Sekara, Vedran, Stopczynski, Arkadiusz, Lehmann, Sune

“…Taken together, these findings provide a powerful simplification of the social network, where cores represent fundamental structures expressed with strong temporal and spatial regularity. …”
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Temporal fidelity in dynamic social networks by Stopczynski, Arkadiusz, Sapiezynski, Piotr, Pentland, Alex Sandy’, Lehmann, Sune

“…On a fundamental level, understanding of the network dynamics can be used to inform the process of measuring social networks. The details of measurement are of particular importance when considering dynamic processes where minute-to-minute details are important, because collection of physical proximity interactions with high temporal resolution is difficult and expensive. …”
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Temporal fidelity in dynamic social networks by Stopczynski, Arkadiusz, Sapiezynski, Piotr, Pentland, Alexander Sandy, Lehmann, Sune

“…On a fundamental level, understanding of the network dynamics can be used to inform the process of measuring social networks. The details of measurement are of particular importance when considering dynamic processes where minute-to-minute details are important, because collection of physical proximity interactions with high temporal resolution is difficult and expensive. …”
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Finding Extremists in Online Social Networks by Klausen, Jytte, Marks, Christopher E, Zaman, Tauhid

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Social network effects on information aggregation by Mulanda, Chilongo D

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Three essays on social networks and entrepreneurship by Greenberg, Jason, Ph. D. Massachusetts Institute of Technology

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Delivery properties of human social networks by Sollins, Karen R., Sastry, Nishanth, Crowcroft, Jon

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Rate of Convergence of Learning in Social Networks by Lobel, Ilan, Acemoglu, K. Daron, Dahleh, Munther A, Ozdaglar, Asuman E

“…Author's final manuscript of an article that had the title changed during publication to "Lower Bounds on the Rate of Learning in Social Networks." Final published version available at: http://hdl.handle.net/1721.1/59971…”
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Spread of (mis)information in social networks by Acemoglu, Daron, Ozdaglar, Asuman E., Parandehgheibi, Ali

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Opinion Dynamics and Learning in Social Networks by Acemoglu, Daron, Ozdaglar, Asuman E.

“…We provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning and focus on the implications of the form of learning (e.g., Bayesian vs. non-Bayesian), the sources of information (e.g., observation vs. communication), and the structure of social networks in which individuals are situated on three key questions: (1) whether social learning will lead to consensus, i.e., to agreement among individuals starting with diff erent views; (2) whether social learning will effectively aggregate dispersed information and thus weed out incorrect beliefs; (3) whether media sources, prominent agents, politicians and the state will be able to manipulate beliefs and spread misinformation in a society.…”
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