6533b7d1fe1ef96bd125c461
RESEARCH PRODUCT
Markov Model for Tweets Geographic Distribution Characterization
Eduard Alexandru StoicaMarian Pompiliu CristescuAntoniu Gabriel Piticsubject
Social graphInformation retrievalPoint (typography)Twitter ;Computer scienceTransition (fiction)social mediaGeneral EngineeringEnergy Engineering and Power TechnologyMarkov modelMarkov modelSet (abstract data type)social graphSocial mediaLocationWord (computer architecture)description
Abstract In this paper we will continue our researches regarding e-Business and e-Government modeling on Social Media presented in (Stoica, Pitic, & Mihaescu, 2013). Among message and user parameters we add a new parameter used to describe the geographical dispersion of Twitter messages. This new parameter will characterize the way one set of messages will spread in Social Graph from the physical word point of view. The first model, presented as “A Novel Model for E-Business and E-Government Processes on Social”, will be extended with the geographical parameter PG. We will define and we will describe the Markov Model used to organize the messages gathered from social media. The main idea of building the Markov Model is to assign a geographical location to each user who send a message and every re-broadcast will define a transition.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-01-01 | Procedia Economics and Finance |