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|    Phone communication spurs a cascading ef    |
|    21 Jun 23 22:30:28    |
      MSGID: 1:317/3 6493ce6c       PID: hpt/lnx 1.9.0-cur 2019-01-08       TID: hpt/lnx 1.9.0-cur 2019-01-08        Phone communication spurs a cascading effect on social influence                Date:        June 21, 2023        Source:        University of Texas at Austin        Summary:        Social influence from phone communications is significant, reaching        as far as four degrees of separation from the original caller,        according to a new study.                      Facebook Twitter Pinterest LinkedIN Email              ==========================================================================       FULL STORY       ==========================================================================       Social influence from phone communications is significant, reaching as       far as four degrees of separation from the original caller, according       to a new study from researchers at The University of Texas at Austin,       who developed a new framework to more precisely study the phenomenon.              The researchers created a framework that distinguishes between people       behaving in similar ways because of peer influence or because they've       sought out friends with similar behaviors and beliefs. It's an important       distinction to make for marketing and public health agencies looking to       effectively target communications and influence behavior.              Yan Leng, an assistant professor at the McCombs School of Business, and       colleagues also devised a new tool that marketers can use to identify       influencers: highly connected individuals who can start phone cascades.              The research is online in advance in the Journal ofInformation Systems       Research.              With Xiaowen Dong of the University of Oxford, Esteban Moro of the       University of Madrid and Alex Pentland of the Massachusetts Institute       of Technology, Leng tested the framework on mobile phone data collected       in a small European country with a single mobile provider to show how       phone communications affect people's decision to attend a cultural event.              The framework consists of three steps:        1. Identify people who initially adopt a behavior.               2. Use cellular phone data to build communication cascades, or        diagrams of        individuals who have direct phone calls or are indirectly connected        with initial adopters.               3. Gather the following data: a) locations people visited, b)        whether their        friends eventually adopted the behavior, and c) characteristics        of people's social networks, such as how connected they are to        their networks.              People who had direct phone contact with initial event attendees were       87.61% more likely to end up later attending themselves compared with       those who didn't receive a phone call from a contact. Those who were       two tiers away (friends of friends) from an initial adopter were 68.65%       more likely to attend if they received a call.              This effect persisted up to four degrees of separation, showing that even       being indirectly connected to a past attendee through a communications       network raises one's likelihood of future attendance. Third-tier contacts       were 53% more likely to go to the show and fourth tier 47% more likely.              While the researchers lacked details about the context of phone calls,       they assumed the topic of communications within 24 hours of the event       would include talk about the performance.              "And if people weren't talking about the event, then our estimate is       an underestimate," Leng said. "Our findings on the long-range effect       of social influence still hold." The researchers used their results to       build a new tool, their so-called influence centrality, that shows which       people spread information more than others. This is important information       that can be used in targeting in marketing, as it could help companies       and public agencies promote new products and behaviors. Businesses       that have a new product they want people to adopt can use the framework       and tool, too. For instance, companies sending out sample products to       influencers are better off if they know who will most effectively spread       the word. Overall, the research shows that despite the preponderance of       social media, phones still matter for marketers.              "Phone communication is still a very important channel researchers should       study," Leng said.               * RELATED_TOPICS        o Mind_&_Brain        # Social_Psychology # Relationships # Behavior #        Consumer_Behavior # Psychology # Perception #        K-12_Education # Psychiatry        * RELATED_TERMS        o Social_psychology o Macroeconomics o Social_cognition        o Phishing o Milgram_experiment o Social_movement o        Interpersonal_relationship o Cognitive_bias              ==========================================================================       Story Source: Materials provided by University_of_Texas_at_Austin. Note:       Content may be edited for style and length.                     ==========================================================================       Journal Reference:        1. Yan Leng, Xiaowen Dong, Esteban Moro, Alex Pentland. Long-Range        Social        Influence in Phone Communication Networks on Offline Adoption        Decisions.               Information Systems Research, 2023; DOI: 10.1287/isre.2023.1231       ==========================================================================              Link to news story:       https://www.sciencedaily.com/releases/2023/06/230621105429.htm              --- up 1 year, 16 weeks, 2 days, 10 hours, 50 minutes        * Origin: -=> Castle Rock BBS <=- Now Husky HPT Powered! (1:317/3)       SEEN-BY: 15/0 106/201 114/705 123/120 153/7715 218/700 226/30 227/114       SEEN-BY: 229/110 112 113 307 317 400 426 428 470 664 700 291/111 292/854       SEEN-BY: 298/25 305/3 317/3 320/219 396/45 5075/35       PATH: 317/3 229/426           |
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