本文選題：在線社交網(wǎng)絡(luò)　切入點(diǎn)：觀點(diǎn)傳播　出處：《計(jì)算機(jī)學(xué)報(bào)》2017年04期

【摘要】：在不同情感極性上建模用戶間的影響力是觀點(diǎn)形成和病毒式營(yíng)銷(xiāo)的一個(gè)關(guān)鍵問(wèn)題.已有工作將用戶間影響力直接定義在用戶對(duì)上,無(wú)法刻畫(huà)未觀測(cè)到用戶對(duì)之間的關(guān)聯(lián)關(guān)系,造成用戶影響力學(xué)習(xí)的過(guò)擬合問(wèn)題.此外,目前尚無(wú)針對(duì)不同情感極性的用戶間影響力建模的有效方法.因此,該文提出一種融合情感因素的用戶分布式表達(dá)模型.該模型首先構(gòu)建兩個(gè)低維參數(shù)矩陣度量在不同情感極性上傳播者的影響力和接受者的易感性,然后通過(guò)生存分析模型刻畫(huà)級(jí)聯(lián)的傳播行為,最后利用負(fù)采樣方法解決模型中存在正負(fù)例嚴(yán)重不平衡的問(wèn)題.基于帶有情感觀點(diǎn)的微博轉(zhuǎn)發(fā)所形成級(jí)聯(lián)數(shù)據(jù)集的實(shí)驗(yàn)結(jié)果表明,與基準(zhǔn)方法對(duì)比,該文方法在"預(yù)測(cè)動(dòng)態(tài)級(jí)聯(lián)"和"誰(shuí)將會(huì)被轉(zhuǎn)發(fā)"任務(wù)上MRR指標(biāo)分別提高了273%和32.4%,在"級(jí)聯(lián)大小預(yù)測(cè)"任務(wù)上MAPE指標(biāo)下降了10.46%,很好地驗(yàn)證了該文模型的有效性.此外,該文分析用戶的情感影響力和易感性分布并發(fā)現(xiàn)了一些重要的現(xiàn)象.
[Abstract]:Modeling the influence between users on different emotional polarities is a key issue in view formation and viral marketing. In addition, there is no effective method for modeling the influence between users with different affective polarities. In this paper, a user distributed representation model combining emotional factors is proposed. Firstly, two low-dimensional parameter matrices are constructed to measure the influence of the communicator and the susceptibility of the receiver in different affective polarities. Then the propagation behavior of cascades is described by survival analysis model. Finally, negative sampling method is used to solve the problem of serious imbalance of positive and negative cases in the model. Compared with the baseline method, In this paper, the MRR index of "predicting dynamic cascade" and "who will be forwarded" is increased by 27.3% and 32.4% respectively, and the MAPE index of "cascaded size prediction" task is decreased by 10.46%, which verifies the validity of the model. This paper analyzes the affective influence and susceptibility distribution of users and finds some important phenomena.
【作者單位】： 福州大學(xué)數(shù)學(xué)與計(jì)算機(jī)科學(xué)學(xué)院;福建省網(wǎng)絡(luò)計(jì)算與智能信息處理重點(diǎn)實(shí)驗(yàn)室(福州大學(xué));中國(guó)科學(xué)院網(wǎng)絡(luò)數(shù)據(jù)科學(xué)與技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家“九七三”重點(diǎn)基礎(chǔ)研究發(fā)展規(guī)劃項(xiàng)目基金(2013CB329606,2013CB329602) 國(guó)家自然科學(xué)基金項(xiàng)目(61572467,61300105) 中國(guó)科學(xué)院網(wǎng)絡(luò)數(shù)據(jù)科學(xué)與技術(shù)重點(diǎn)實(shí)驗(yàn)室開(kāi)放基金課題(CASNDST20140X)資助~~
【分類(lèi)號(hào)】：TP391.1
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本文編號(hào)：1682737