Blog
About

19
views
0
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Characterization of Cross-posting Activity for Professional Users across Facebook, Twitter and Google+

      Preprint

      , ,

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Professional players in social media (e.g., big companies, politician, athletes, celebrities, etc) are intensively using Online Social Networks (OSNs) in order to interact with a huge amount of regular OSN users with different purposes (marketing campaigns, customer feedback, public reputation improvement, etc). Hence, due to the large catalog of existing OSNs, professional players usually count with OSN accounts in different systems. In this context an interesting question is whether professional users publish the same information across their OSN accounts, or actually they use different OSNs in a different manner. We define as cross-posting activity the action of publishing the same information in two or more OSNs. This paper aims at characterizing the cross-posting activity of professional users across three major OSNs, Facebook, Twitter and Google+. To this end, we perform a large-scale measurement-based analysis across more than 2M posts collected from 616 professional users with active accounts in the three referred OSNs. Then we characterize the phenomenon of cross posting and analyze the behavioral patterns based on the identified characteristics.

          Related collections

          Most cited references 3

          • Record: found
          • Abstract: not found
          • Article: not found

          Faster algorithm of string comparison

           L. Chun,  S PENG,  Q X Yang (2003)
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            #mytweet via Instagram: Exploring User Behaviour across Multiple Social Networks

             ,  ,   (2015)
            We study how users of multiple online social networks (OSNs) employ and share information by studying a common user pool that use six OSNs - Flickr, Google+, Instagram, Tumblr, Twitter, and YouTube. We analyze the temporal and topical signature of users' sharing behaviour, showing how they exhibit distinct behaviorial patterns on different networks. We also examine cross-sharing (i.e., the act of user broadcasting their activity to multiple OSNs near-simultaneously), a previously-unstudied behaviour and demonstrate how certain OSNs play the roles of originating source and destination sinks.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Characterization of Cross-posting Activity for Professional Users Across Major OSNs

                Bookmark

                Author and article information

                Journal
                2017-05-01
                Article
                1705.00714

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                Custom metadata
                Social Network Analysis and Mining > Issue 1/2016
                Social Network Analysis and Mining 6.1 (2016): 1-14
                available at: https://www.springerprofessional.de/en/characterization-of-cross-posting-activity-for-professional-user/10258542
                cs.SI

                Social & Information networks

                Comments

                Comment on this article