面向活动的网络媒体监测与建模分析：IVFC案例解析

孙星恺; 王晓; 陆浩

doi:10.11959/j.issn.2096-6652.201940

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面向活动的网络媒体监测与建模分析：IVFC案例解析

学术论文 | 更新时间：2024-06-05

- 面向活动的网络媒体监测与建模分析：IVFC案例解析
- Digital monitoring and modeling of activities:the IVFC case study
- 智能科学与技术学报 2019年1卷第4期页码：352-368
- 作者机构：
  
  1. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  2. 中国科学院大学，北京 100049
  3. 青岛智能产业技术研究院，山东青岛 266000
- 作者简介：
  
  [ "孙星恺（1985- ），男，中国科学院自动化研究所复杂系统管理与控制国家重点实验室博士生，主要研究方向为社会计算、科技情报、知识自动化与知识图谱" ]
  [ "王晓（1987- ），女，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员，主要研究方向为复杂系统管理、平行感知" ]
  [ "陆浩（1983- ），男，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室副高级工程师，主要研究方为向知识自动化、社会计算与Web智能" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.201940
  中图分类号： TP391.1
- 网络出版日期：2019-12，
  
  纸质出版日期：2019-12-20
- 稿件说明：
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孙星恺, 王晓, 陆浩. 面向活动的网络媒体监测与建模分析：IVFC案例解析[J]. 智能科学与技术学报, 2019,1(4):352-368.

Xingkai SUN, Xiao WANG, Hao LU. Digital monitoring and modeling of activities:the IVFC case study[J]. Chinese journal of intelligent science and technology, 2019, 1(4): 352-368.
孙星恺, 王晓, 陆浩. 面向活动的网络媒体监测与建模分析：IVFC案例解析[J]. 智能科学与技术学报, 2019,1(4):352-368. DOI： 10.11959/j.issn.2096-6652.201940.

Xingkai SUN, Xiao WANG, Hao LU. Digital monitoring and modeling of activities:the IVFC case study[J]. Chinese journal of intelligent science and technology, 2019, 1(4): 352-368. DOI： 10.11959/j.issn.2096-6652.201940.

摘要

当前，各类活动（如竞赛、会议等）的举办频次日益增多，但针对此类活动相关网络媒体内容的数字化监测和分析却缺乏有效的平台。以平行情报中的方法框架与知识自动化理论方法为基础，提出了一个面向活动的网络媒体监测与建模分析的方法框架，并以中国智能车未来挑战赛（IVFC）为实际应用案例，采集2009年至2017年3类主要网络媒体（新闻、微信、微博）数据，分别从时空、热点、发布源、关键词、主题、语义、实体等维度对网络媒体数据进行解析与可视化。实例分析结果可以有效揭示活动网络媒体的发布规律、关注点、重要发布源以及各活动参与方实体的知识等，可为活动主办方等相关单位进行策划、宣传、总结等活动前、中、后的各个环节提供数字化辅助决策支撑。

Abstract

At present

the frequency of various activities

such as competitions and conferences is increasing day by day.However

there is a lack of an effective platform of digital monitoring and analysis of online media for such events.Based on the method framework in parallel intelligence and knowledge automation theory

a methodological framework for network media monitoring and modeling analysis for events was proposed in this paper

and takes the “Intelligent Vehicle Future Challenge” as an application example.The dataset was collected from three main types of online media (news

WeChat

Weibo) data from 2009 to 2017.Then the online media data were analyzed and visualized from the multiple dimensions including time and space

hotspots

release sources

keywords

topics

semantics

and entities.The results show that the relevant framework can provide effective digital monitoring means and auxiliary decision support for the activity-related organizations.

关键词

Keywords

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