background preloader

Družabna omrežja

Facebook Twitter

Social Networking Fact Sheet. Highlights of the Pew Internet Project’s research related to social networking.

Social Networking Fact Sheet

(Note: This page will be updated whenever new data is available.) As of January 2014, 74% of online adults use social networking sites. As of September 2014: 71% of online adults use Facebook23% of online adults use Twitter26% use Instagram28% use Pinterest28% use LinkedIn For a detailed demographic portrait of users of various social networking sites from September 2014, please see our recent report, Social Media Update 2014. In May 2013, 74% of women were users of social networking sites, compared with 62% of men. Between February 2005 and August 2006, the use of social networking sites among young adult internet users ages 18-29 jumped from 9% to 49%. Mobile The growing ubiquity of cell phones, especially the rise of smartphones, has made social networking just a finger tap away. Coursera.org. About the Course Everything is connected: people, information, events and places, all the more so with the advent of online social media.

Coursera.org

A practical way of making sense of the tangle of connections is to analyze them as networks. In this course you will learn about the structure and evolution of networks, drawing on knowledge from disciplines as diverse as sociology, mathematics, computer science, economics, and physics. Online interactive demonstrations and hands-on analysis of real-world data sets will focus on a range of tasks: from identifying important nodes in the network, to detecting communities, to tracing information diffusion and opinion formation.

Course Syllabus Week 1: What are networks and what use is it to study them? Concepts: nodes, edges, adjacency matrix, one and two-mode networks, node degree Activity: Upload a social network (e.g. your Facebook social network into Gephi and visualize it ). Week 2: Random network models: Erdos-Renyi and Barabasi-Albert Week 4: Community. Social Network Analysis and Mining - incl. Copyright Information For Authors Submission of a manuscript implies: that the work described has not been published before (except in form of an abstract or as part of a published lecture, review or thesis); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors, if any, as well as – tacitly or explicitly – by the responsible authorities at the institution where the work was carried out.

Social Network Analysis and Mining - incl

Author warrants (i) that he/she is the sole owner or has been authorized by any additional copyright owner to assign the right, (ii) that the article does not infringe any third party rights and no license from or payments to a third party is required to publish the article and (iii) that the article has not been previously published or licensed. The author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. Author is requested to use the appropriate DOI for the article. For Readers.

Top 15 Most Popular Social Networking Sites. Here are the top 15 Most Popular Social Networking Sites as derived from our eBizMBA Rank which is a continually updated average of each website's U.S.

Top 15 Most Popular Social Networking Sites

Traffic Rank from Quantcast and Global Traffic Rank from both Alexa and SimilarWeb. "*#*" Denotes an estimate for sites with limited data. 1 | facebook3 - eBizMBA Rank | 1,500,000,000 - Estimated Unique Monthly Visitors | 5 - Quantcast Rank | 3 - Alexa Rank | 2 - SimilarWeb Rank | Last Updated: May 1, 2017. Social network. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory.

Social network

Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations. "[2] Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s.[1][3] Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.[4][5] Overview[edit] History[edit]