找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Complex Spreading Phenomena in Social Systems; Influence and Contag Sune Lehmann,Yong-Yeol Ahn Book 2018 Springer International Publishing

[復(fù)制鏈接]
樓主: papertrans
41#
發(fā)表于 2025-3-28 16:42:01 | 只看該作者
Don Passey,Gavin Hawkins,Darren Clifthe social media human population. In this chapter, we will discuss the role of social bots in content spreading dynamics in social media. In particular, we will first investigate some differences between diffusion dynamics of content generated by bots, as opposed to humans, in the context of politic
42#
發(fā)表于 2025-3-28 20:44:06 | 只看該作者
43#
發(fā)表于 2025-3-29 02:10:05 | 只看該作者
Don Passey,Gavin Hawkins,Darren Cliftons can now turn to an array of communication channels, from mobile phone calls and text messages to social media posts, when alerting social ties. These channels drastically improve the speed of information in a time-sensitive event, and provide extant records of human dynamics during and afterward
44#
發(fā)表于 2025-3-29 05:38:36 | 只看該作者
https://doi.org/10.1007/978-3-319-77332-2influence spreading; complex contagion; spreading in social systems; epidemic and social spreading; spre
45#
發(fā)表于 2025-3-29 07:57:03 | 只看該作者
46#
發(fā)表于 2025-3-29 12:45:38 | 只看該作者
Sune Lehmann,Yong-Yeol AhnContains for the first time in a single volume, chapters that take the reader from novice to expert on spreading processes in social systems.Uniquely emphasizes a data-driven approach to the problem o
47#
發(fā)表于 2025-3-29 17:48:46 | 只看該作者
Computational Social Scienceshttp://image.papertrans.cn/c/image/231541.jpg
48#
發(fā)表于 2025-3-29 23:13:11 | 只看該作者
Complex Spreading Phenomena in Social Systems978-3-319-77332-2Series ISSN 2509-9574 Series E-ISSN 2509-9582
49#
發(fā)表于 2025-3-30 02:55:11 | 只看該作者
Nicholas Mavengere,Mikko Ruohonenures based on community structure even at the massive scales that common social media services need to process. Our results may not only enable practitioners to make predictions about meme diffusion, but also help researchers understand how and why different factors, in particular diffusion patterns in communities, affect online virality.
50#
發(fā)表于 2025-3-30 04:18:21 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-27 06:17
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
驻马店市| 常德市| 沈阳市| 德州市| 廊坊市| 宜丰县| 隆德县| 安庆市| 耿马| 天峻县| 阿勒泰市| 哈密市| 博兴县| 当涂县| 邻水| 广丰县| 禹城市| 阳城县| 郁南县| 休宁县| 越西县| 和林格尔县| 道孚县| 靖江市| 梁河县| 祁门县| 武冈市| 酉阳| 宁国市| 保山市| 建平县| 六盘水市| 衢州市| 中山市| 和政县| 延庆县| 青田县| 宁都县| 乐业县| 甘孜| 涿州市|